50+ DevOps Jobs in India

Primary Skills: 

Observability - ELK (Elactic/Kibana), Prometheus, Grafana, PromQL

Software and automation - Java, Python/Shell/Bash, Rest-SOAP API, docker containerization, Kubernetes, Kafka

Reliability and DR engineering - Distributed architecture and distributed system fundamentals, micro services, and event-driven architecture.

Cross-team coordination, incident triage and resolution, leadership and stakeholder management.

Secondary Skills:

Lang-chain, Langraph, RAG, MCP

Experience with working on LLM's and integrating with the existing applications

Python - FastAPI

Cache - Redis

Program Details:

Design, build, and ship LLM-powered and agentic product features that enhance the team efforts and outcomes.

Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.

Work on integrating the existing AI tools and should know major AI frameworks and libraries. 

Own service reliability and operational governance by defining SLA's, managing error budgets, and reporting reliability (MTTD, MTTR) to leadership for prioritization, risk decisions and planning.

Architect and continuously optimize the observability of platform using Kibana/Elastic (ELF) along with other observability tools like Prometheus, Grafana (dashboards, metrics, alert lifecycle), improving detection quality, reducing noise/toil, and enabling faster triage and measurable uptime improvements.

Engineer advance alerting and automation capabilities with Kibana alerting and anomaly detections and integrating response workflows (routing, runbooks, remediation scripts) to standardize on-call execution and accelerate restoration of services.

Lead incident response for customer-impacting issues across teams-coordination, communications, service restoration, and blameless RCA-then corrective actions that prevent recurrence and reduce operational risk.

Design, automate and validate Disaster Recovery and failover for critical services/journeys (RTO/RPO alignment, DR Drills), ensuring resiliency under failure scenarios and improving recovery.

Consult and partner with application teams by providing production readiness inputs (Resiliency patterns, availability, performance/capacity considerations) and driving platform enhancements that improve stability while optimizing infrastructure and observability spend.

If you are interested for this role, kindly acknowledge this email with your interest.

Senior DevOps Engineer

Location: India, Remote

Type: Contract

Department: Engineering

About Us

OpenAssets is building open standards for the next generation of capital markets, providing the trusted foundation for real-world asset tokenization and digital currencies.

We specialize in alternative asset digitization, offering regulatory-conscious tools to design, issue, and manage digital assets in complex financial environments. We also develop loyalty solutions that turn customer engagement into programmable digital assets, helping brands create personalized experiences that drive growth.

OpenAssets operates at the intersection of finance, technology, and regulation focused on building secure, scalable, and open infrastructure for the future of digital markets. Join OpenAssets and be part of shaping the future of digital finance!

Overview

We are seeking a Senior DevOps Engineer to lead the evolution of our cloud infrastructure and deployment ecosystems.

This role acts as the foundation of our engineering reliability, bridging the gap between high-performance blockchain development and robust, secure cloud operations. You will be responsible for architecting scalable AWS environments, automating mission-critical CI/CD pipelines, and ensuring the absolute integrity of our security and observability frameworks.

What You’ll Do

Cloud Infrastructure & Architecture

• Design, provision, and maintain OpenAssets’ AWS infrastructure: including EC2, ECS/Fargate, Lambda, S3, RDS, VPC, IAM, CloudFront, SQS, ElastiCache, and CloudWatch.
• Architect for high availability, fault tolerance, and cost efficiency across production and non-production environments.
• Manage networking, security groups, subnets, load balancers, and access controls to ensure a secure and well-segmented cloud environment.
• Scale infrastructure dynamically to handle platform growth, partner onboarding, and peak load events.
• Deploy, configure, and manage blockchain node infrastructure supporting on-chain integrations and smart contract interactions.

CI/CD & Automation

• Implement and maintain CI/CD pipelines using GitHub Actions and/or AWS CodeBuild for frontend, backend, and smart contract deployments.
• Manage infrastructure as code using Terraform (or OpenTofu) and/or CloudFormation to ensure reproducible, auditable environments.
• Automate build, test, and deployment processes to minimize manual effort and reduce release risk.
• Develop and maintain automation scripts in Python and Bash for operational and provisioning workflows.
• Administer and scale Kubernetes clusters (EKS) for deploying services and blockchain node infrastructure.

Security & Compliance

• Implement and enforce security best practices across infrastructure: TLS, VPNs, IAM roles, private key management, secrets management, and patch management.
• Work with the CISO to conduct infrastructure security audits and maintain compliance with data handling, uptime, and audit logging requirements.
• Manage secrets and environment configuration securely using AWS Secrets Manager or HashiCorp Vault.
• Ensure encryption at rest and in transit across all critical data stores and communication channels.
• Apply knowledge of blockchain security, including consensus mechanisms, smart contract interactions, and Layer 2 infrastructure, to harden on-chain components.

Observability & Incident Response

• Set up and maintain monitoring, alerting, and dashboards for key platform metrics using CloudWatch, Prometheus, Grafana, or equivalent.
• Establish structured logging and distributed tracing practices (OpenTelemetry or similar) across services.
• Lead incident response for production issues, triaging, communicating, resolving, and writing blameless postmortems.
• Design, implement, and regularly test backup and disaster recovery strategies to minimize data loss and downtime.

Collaboration & Enablement

• Support engineering teams in troubleshooting environment-specific issues across development, staging, and production.
• Document infrastructure architecture, runbooks, and operational procedures — keeping them current and actionable.
• Train developers on deployment tooling, CI/CD workflows, and on-call processes.
• Evaluate and introduce new tooling and practices to improve DevOps maturity across the organization.

Qualifications & Experience

• 5+ years of experience in DevOps, SRE, or cloud infrastructure engineering.
• Deep hands-on expertise with AWS: EC2, ECS/Fargate, Lambda, RDS, S3, VPC, IAM, CloudWatch, SQS, CloudFront, and ElastiCache.
• Strong experience with infrastructure as code using Terraform, OpenTofu, and/or CloudFormation.
• Proficiency with containerization and orchestration (Docker, Kubernetes / EKS).
• Experience designing and maintaining CI/CD pipelines using GitHub Actions, AWS CodeBuild, GitLab CI, or similar.
• Solid Linux systems administration and scripting skills (Bash, Python).
• Strong understanding of cloud networking and security: TLS, VPCs, security groups, IAM, private key management, secrets management.
• Experience with monitoring and observability tooling: CloudWatch, Prometheus, Grafana, ELK stack, or equivalent.
• Familiarity with distributed tracing (OpenTelemetry, Jaeger, or similar).
• Working knowledge of blockchain technologies: consensus mechanisms, smart contract infrastructure, or Layer 2 scaling solutions.
• Calm, systematic problem-solving approach to production incidents and outages.
• Strong communication skills, able to explain infrastructure concerns clearly to both technical and non-technical stakeholders.
• Fluid in English

Nice to Have

• AWS certifications (Solutions Architect, DevOps Engineer Professional, or equivalent).
• Experience deploying and operating blockchain node infrastructure (Ethereum, Polygon, or similar).
• Background in fintech, capital markets, payments, or regulated infrastructure environments.
• Experience with security frameworks and compliance standards (SOC 2, ISO 27001).
• Multi-tenant SaaS infrastructure experience.
• Experience with event-driven architectures (Kafka, SQS, BullMQ).
• Cost optimization practices: reserved instances, Savings Plans, right-sizing.
• Infrastructure as code with Pulumi or CDK.
• Open-source contributions or technical writing.

We are committed to providing equal opportunity for qualified applicants to contract positions, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. This is a contract opportunity, not a direct employment role.

Full-Stack Developer (Angular & Node.js) - Contract-Based

Role Overview: We are looking for a highly skilled Full-Stack Developer to join our team for a high-impact, 6-month contract engagement. This is an onsite, contract-based role based in Andheri, Mumbai. You will be responsible for building, scaling, and maintaining robust web applications, contributing directly to our core product architecture.

Key Responsibilities:

• Develop and maintain scalable, high-performance web applications using Angular and Node.js.
• Architect and build modular backend services, secure RESTful APIs, and manage database schemas.
• Collaborate with the internal product team to deliver new features and optimize existing workflows.
• Manage complex database query optimization and indexing for high availability.
• Maintain clean, maintainable, and well-documented code that adheres to industry standards.

Technical Requirements:

• Experience: 6–8+ years of professional full-stack development experience.
• Frontend Stack: Strong proficiency with Angular, including component architecture, RxJS, and state management.
• Backend Stack: Strong backend experience with Node.js (Express/NestJS or similar framework) and robust REST API design.
• Languages: Solid command of JavaScript and TypeScript across the entire stack.
• Database & Search: Hands-on experience with PostgreSQL (including schema design and query optimization) and Elasticsearch (indexing, querying, and performance tuning).
• Devops & Security: Sound understanding of security best practices (especially important in a fintech/PE context), alongside familiarity with Git, CI/CD pipelines, and modern testing practices.
• Soft Skills: Ability to operate independently in a fast-paced environment and excellent problem-solving skills.

Contract Details:

• Type: Onsite, Contract-based (6 Months, extendable).
• Budget: 90k / Months
• Location: Andheri, Mumbai. (Open exclusively to Mumbai-based candidates as no relocation assistance will be provided).
• Availability: Immediate joiners preferred.

Senior Cloud Site Reliability Engineer (CSRE) – Azure

About Searce:

Searce is an AI-native, engineering-led modern technology consultancy that empowers

clients to futurify their businesses by delivering real, intelligent business outcomes. As a

trusted partner for over 3,000 clients globally, Searce specializes in cloud modernization,

data engineering, applied AI, and robust cloud platform security. Driven by a "HAPPIER"

cultural mindset and our proprietary evlos problem-solving framework, we eliminate

bureaucratic fluff to build working prototypes fast and scale enterprise production

environments intelligently. We don't just fix systems; we leverage multi-cloud technologies

to transform client operations into distinct competitive advantages.

Position Overview:

We are looking for a high-caliber Senior or Lead Cloud Site Reliability Engineer (CSRE) to

architect, secure, and stabilize next-generation hybrid and multi-cloud environments.

Operating at the intersection of infrastructure design, security compliance, and production

operations, you will serve as the technical Subject Matter Expert (SME) across GCP, Azure,

and AWS.

Whether optimizing a microservice mesh on GKE, tuning autoscaling on AKS, or driving a

massive disaster recovery drill across AWS regions, your focus will be absolute reliability. For

the Lead path, you will couple this deep engineering toolkit with stakeholder management

and mentorship to drive an elite operational culture.

Experience & Level Expectation:

Years of Experience: 3 to 10 years of intensive, hands-on production operations

experience in a dedicated DevOps, Cloud Platform Engineering, or SRE role.

Associate level (3-5 Years): Expected to show flawless execution of IaC, advanced

triaging of infrastructure failures, and ownership of the CI/CD and deployment

lifecycles.

Intermediate level (5-10 Years): Expected to take architectural ownership, serve as

primary Incident Commander for complex outages, design cross-cloud governance

frameworks, and act as a reliable bridge between technical teams and client

leadership.

Key Responsibilities & Role Expectations:

Multi-Cloud Platforms & Orchestration: Design, configure, and maintain

production-grade Kubernetes clusters across major platforms (AKS).

Manage advanced network routing, service meshes (e.g., Istio), and multi-tenant

isolation.

Infrastructure as Code (IaC) & GitOps: Build declarative, enterprise-grade, reusable

infrastructure components using Terraform or Crossplane. Standardize automated

environment provisioning to eliminate configuration drift across multi-branch

environments.

Incident Management & Reliability (SRE): Own and optimize the production on-call

rotation. Lead rapid mitigation strategies for Sev-1/Sev-2 system outages, reducing

Mean Time to Recovery (MTTR) through centralized log and metric correlation.

Root Cause Analysis (RCA): Facilitate rigorous, blameless post-incident reviews to

identify core architectural vulnerabilities and establish long-term fixes preventing

recurrence.

Lifecycle, Patching & Upgrades: Plan and execute zero-downtime cluster upgrades,

operating system patching strategies (Linux/Windows), database lifecycle updates,

and multi-region Disaster Recovery (DR) failover drills.

Core Core Operations & Legacy Integration: Manage enterprise-level hybrid

networking architecture (VPCs, Firewalls, Load Balancers, DNS routing, and DHCP

configurations) while effectively connecting cloud native services to legacy

infrastructures like Active Directory.

Security & Governance: Embed Zero Trust policies, secure secrets management

(Secrets Manager/Key Vault), and continuous vulnerability patching into the

automated SDLC pipeline.

Required Technical Skills:

- Microsoft Azure: Azure Virtual Machines, Virtual Networks, Azure Active Directory, Azure Update Management.

- Containers & Orchestration

• Production-level management of GKE, AKS, and EKS.
• Advanced mastery of Docker, Helm, Kubernetes StatefulSets, Pod Disruption

At BigThinkCode, our technology solves complex problems. We are looking for talented Azure Cloud Devops engineer to join our Cloud Infrastructure team at Chennai.

Please find below our job description, if interested apply / reply sharing your profile to connect and discuss.

Company: BigThinkCode Technologies

URL: https://www.bigthinkcode.com/

Role: Devops Engineer

Experience required: 3–5 years

Work location: Chennai

Joining time: Immediate – 2 weeks

Work Mode: Work from office (Hybrid)

About the Role:

We are looking for a DevOps Engineer with 3+ years of hands-on experience to build and manage CI/CD pipelines, cloud infrastructure, containerized deployments, and operational monitoring. The engineer will work closely with Architects, Developers, QA, and Integration teams to deliver secure, scalable, and production-ready applications across AWS and Microsoft Azure environments.

Key Responsibilities

· Design, implement, and maintain CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, or similar tools.

· Deploy, manage, and monitor applications on AWS and/or Microsoft Azure.

· Build and manage containerized applications using Docker.

· Provision cloud infrastructure using Terraform or Infrastructure as Code (IaC).

· Configure IAM, Key Vault/Secrets Manager, networking, SSL, and secure deployments.

· Implement monitoring, logging, alerting, backup, and disaster recovery solutions.

· Collaborate with development teams to troubleshoot build, deployment, and production issues.

· Maintain deployment documentation, runbooks, and operational procedures.

Required Skills & Qualifications

· 3+ years of experience in DevOps / Cloud / Infrastructure Engineering.

· Strong understanding of DevOps principles and CI/CD practices.

· Hands-on experience with AWS and/or Microsoft Azure.

· Experience with GitHub Actions, Azure DevOps, Jenkins, or similar CI/CD tools.

· Strong Linux administration skills.

· Hands-on experience with Docker and container lifecycle management.

· Working knowledge of Terraform or other Infrastructure as Code tools.

·  Experience with cloud services such as:

· AWS: EC2, IAM, S3, VPC, RDS, CloudWatch, ECR

· Azure: App Services, Container Apps, Key Vault, Azure Monitor, Application Insights, Azure Container Registry

· Good understanding of networking concepts (DNS, SSL, Load Balancers, Firewalls, Virtual Networks).

· Basic operational knowledge of PostgreSQL/MySQL.

· Strong troubleshooting and production support skills.

Good to Have

· Kubernetes (AKS/EKS) or Azure Container Apps.

· Monitoring tools such as Prometheus, Grafana, ELK, CloudWatch, or Azure Monitor.

· Experience with GitHub Enterprise, Branch Protection, and CI/CD quality gates.

· Exposure to security tools such as CodeQL, Dependabot, Trivy, or SonarQube.

· Shell, Bash, PowerShell, or Python scripting.

· Experience with Microsoft Entra ID (Azure AD), OAuth, or SSO.

· Exposure to enterprise integration environments (Oracle, Kafka, REST APIs, OIC).

Soft Skills

· Strong ownership and problem-solving mindset.

· Good communication and documentation skills.

· Ability to work collaboratively in Agile teams.

· Passion for automation, security, and continuous improvement. 

On the Job

● Build and maintain scalable cloud infrastructure on AWS

● Improve CI/CD pipelines, deployment systems, and developer workflows

● Automate infrastructure provisioning using Infrastructure-as-Code (Terraform/Pulumi)

● Manage and optimize Kubernetes clusters and containerized workloads

● Improve observability across systems through monitoring, logging, and alerting

● Drive reliability initiatives including incident response, root cause analysis, and operational

improvements

● Collaborate with engineering teams to improve service scalability, performance, and security

● Implement IAM, secrets management, and infrastructure security best practices

● Optimize infrastructure costs and improve resource efficiency

● Actively leverage AI tools and workflows to improve engineering productivity and automation

Must Haves

● 3–6 years of experience in DevOps, Platform Engineering, or SRE roles

● Strong hands-on experience with AWS infrastructure and services

● Good understanding of Kubernetes, Docker, and container orchestration

● Experience with Infrastructure-as-Code tools like Terraform or Pulumi

● Strong scripting/coding skills in Python, Go, or Bash

● Experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI,

etc.)

● Understanding of networking fundamentals, Linux systems, and cloud security practices

● Familiarity with monitoring and observability tools like Prometheus, Grafana, ELK, Datadog,

etc.

● Strong debugging and problem-solving skills

● Ability to work independently in a fast-moving environment

Good To Haves

● Experience working in fintech or high-scale startup environments

● Exposure to service mesh, zero-trust security, or secrets management systems

● Experience with multi-cluster Kubernetes environments

● Familiarity with incident management, SLOs, and reliability engineering practices

● Experience building internal developer platforms or automation tooling

Data Engineer – Splunk & ELK Stack

Job Summary

We are seeking a skilled Data Engineer with hands-on experience in Splunk, the ELK Stack (Elasticsearch, Logstash, Kibana), and modern data engineering practices. The ideal candidate will design, build, and maintain scalable data pipelines, log analytics platforms, and monitoring solutions to support business intelligence, security, and operational excellence.

Key Responsibilities

• Design, develop, and maintain scalable data ingestion and ETL/ELT pipelines.
• Configure, administer, and optimize Splunk environments for log collection, indexing, searching, and reporting.
• Develop and maintain ELK Stack solutions using Elasticsearch, Logstash, Kibana, and Beats.
• Build dashboards, visualizations, alerts, and reports for infrastructure, application, and security monitoring.
• Integrate data from multiple structured and unstructured sources into centralized analytics platforms.
• Optimize Elasticsearch clusters for performance, scalability, and high availability.
• Troubleshoot data pipeline failures, indexing issues, and system performance bottlenecks.
• Automate deployment and configuration using scripting and Infrastructure as Code where applicable.
• Collaborate with DevOps, Security, Cloud, and Application teams to implement observability and monitoring solutions.
• Ensure data quality, governance, and compliance with organizational standards.
• Document technical designs, operational procedures, and best practices.

Required Skills

• Strong experience with Splunk Enterprise administration and development.
• Hands-on experience with the ELK Stack:
• Elasticsearch
• Logstash
• Kibana
• Beats (Filebeat, Metricbeat, Winlogbeat, etc.)
• Experience building ETL/ELT pipelines and data integration workflows.
• Strong SQL skills and experience with relational databases.
• Experience with Python, Shell scripting, or Java for automation.
• Understanding of log management, monitoring, and observability concepts.
• Experience working with Linux environments.
• Knowledge of REST APIs and data ingestion techniques.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with Git and CI/CD pipelines.

Preferred Skills

• Experience with Kafka, Spark, or other streaming technologies.
• Knowledge of Docker and Kubernetes.
• Experience with Terraform, Ansible, or other Infrastructure as Code tools.
• Understanding of SIEM concepts and security analytics.
• Experience with Prometheus, Grafana, or OpenTelemetry.
• Exposure to big data technologies and distributed systems.

We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives.

The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization.

Key Responsibilities

Cloud Architecture & Engineering

•     Design and implement scalable, secure, and highly available solutions on Microsoft Azure.

•     Define cloud architecture standards, reference architectures, and best practices.

•     Lead cloud migration and modernisation initiatives across enterprise workloads.

•     Implement multi-region disaster recovery and business continuity strategies.

•     Oversee Azure networking, identity, security, and governance frameworks.

DevOps & CI/CD

•     Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.

•     Drive DevSecOps culture — embedding security scanning, quality gates, and compliance into the delivery pipeline.

•     Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates.

•     Establish branching strategies, release management, and environment promotion standards.

•     Define and enforce platform engineering standards and internal developer tooling.

AI & Machine Learning Integration

•     Architect AI/ML solutions leveraging Azure AI services — Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services.

•     Design intelligent automation and agentic workflows integrated into enterprise DevOps processes.

•     Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation.

•     Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls.

•     Design and implement enterprise MLOps frameworks.

•     Build automated model training, validation, deployment, and monitoring pipelines.

•     Establish model governance and lifecycle management.

Generative AI & Agentic AI

• Design enterprise GenAI solutions using Azure OpenAI.
• Build AI Agents using Azure AI Foundry.
• Develop Agent-to-Agent communication patterns.
• Implement Retrieval Augmented Generation (RAG) architectures.
• Build enterprise Knowledge Management and AI Skill Registry platforms.
• Design multi-agent orchestration frameworks.

Leadership & Stakeholder Engagement

•     Serve as the technical authority and subject matter expert for Azure AI and DevOps practices.

•     Mentor and guide junior architects, developers, and DevOps engineers.

•     Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions.

•     Produce architecture documentation, decision records (ADRs), and roadmaps.

•     Represent the technology function in enterprise architecture forums and governance boards.

Required Qualifications

•     Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

•     10+ years of experience in cloud engineering and architecture.

•     5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services.

•     Proven experience designing and implementing enterprise-grade CI/CD pipelines.

•     Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).

•     Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).

•     Deep knowledge of DevSecOps principles, tools, and practices.

•     Experience with containerisation and orchestration: Docker, Kubernetes (AKS).

•     Proficiency in scripting and development: Python, PowerShell, Bash.

•     Excellent communication and stakeholder management skills.

Preferred Qualifications

•     Microsoft Certified: Azure Solutions Architect Expert.

•     Microsoft Certified: DevOps Engineer Expert.

•     Microsoft Certified: Azure AI Engineer Associate.

•     Experience with Azure API Management (APIM), Event Grid, and Azure Functions.

•     Familiarity with Datadog, Prometheus, or equivalent observability platforms.

•     Experience in the real estate, retail, or enterprise industry sector.

•     Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).

•     Background in building Internal Developer Platforms (IDP).

Technical Skills

Domain

Technologies / Tools

Cloud Platform

Microsoft Azure (UAE North / Global)

DevOps & CI/CD

Azure DevOps, GitHub Actions, Jenkins

IaC

Terraform, Bicep, ARM Templates

AI / ML

Azure OpenAI, Azure AI Foundry, Azure ML, Cognitive Services

Containers

Docker, Kubernetes (AKS), Azure Container Apps

Identity & Security

Microsoft Entra ID, Azure Policy, Defender for Cloud

Observability

Datadog, Azure Monitor, Log Analytics, Application Insights

Databases

Azure SQL, PostgreSQL, Cosmos DB

Languages

Python, PowerShell, Bash, YAML

Job Title : Mobile DevOps Engineer

Experience : 5+ Years

Location : Nashik / Pune (Remote – Initial 1 Week Onsite in Nashik)

Job Summary :

We are looking for a Mobile DevOps Engineer with expertise in building and maintaining CI/CD pipelines for iOS and Android applications. The ideal candidate will have hands-on experience with mobile build automation, release management, Azure DevOps, and cloud-based DevOps practices to enable faster, secure, and reliable mobile application delivery.

Mandatory Skills :

Azure DevOps, Mobile CI/CD (iOS & Android), Fastlane/Bitrise/Codemagic, GitHub, Xcode, Gradle, App Store & Google Play release automation, YAML Pipelines, GitHub Actions, Docker, Shell/Python scripting, Mobile DevSecOps, Firebase Crashlytics/Sentry, Agile/Scrum.

Key Responsibilities :

• Design, implement, and maintain CI/CD pipelines for iOS and Android applications.
• Automate build, testing, code signing, and deployment processes.
• Manage app releases on Google Play Store and Apple App Store.
• Configure and maintain Azure DevOps pipelines, GitHub workflows, and release automation.
• Integrate automated testing, security scanning, and quality gates into CI/CD pipelines.
• Monitor build performance, troubleshoot pipeline issues, and optimize release processes.
• Collaborate with Mobile, QA, Backend, and Product teams to streamline delivery.
• Maintain DevOps documentation, release procedures, and deployment best practices.
• Explore AI-powered development tools to improve automation and developer productivity.

Required Skills :

• 5+ years of experience in DevOps, Infrastructure, or Software Engineering.
• 2+ years of hands-on experience with Mobile CI/CD (iOS & Android).
• Strong experience with Azure DevOps, GitHub, Fastlane, Bitrise, Codemagic, or similar tools.
• Solid knowledge of Xcode, Gradle, code signing, provisioning profiles, and keystores.
• Experience with Google Play Store and Apple App Store release automation.
• Familiarity with YAML pipelines, GitHub Actions, Shell/Python scripting, and Docker.
• Knowledge of mobile testing frameworks, DevSecOps practices, and monitoring tools such as Firebase Crashlytics, Sentry, or Datadog.
• Understanding of Agile/Scrum methodologies and strong collaboration skills.

Preferred Skills :

• Experience with Flutter, React Native, or native mobile development.
• Exposure to Azure Cloud services.
• Familiarity with AI-assisted development tools and automation.

Position Responsibilities :

Deltek ComputerEase is a cloud-hosted construction ERP serving specialty, general, and service contractors across North America. The platform is delivered as a managed SaaS service on AWS, with every customer session running through a Citrix Virtual Apps environment that our team owns end-to-end. 

We are looking for a Senior DevOps Engineer with deep Citrix expertise to own the delivery, automation, and operational reliability of this platform. This is a senior individual-contributor role for an engineer who can operate independently, set technical direction, and act as the go-to authority for Citrix on the team. You'll keep a multi-tenant production environment running reliably, drive architectural improvements, and raise the bar for how the team automates and operates its infrastructure. 

Deltek is an AI-first company. That means AI is not a side project — it is embedded in how we build, operate, and deliver our products. On this team, you'll use AI-assisted tooling as a standard part of how infrastructure is designed, code is written, incidents are diagnosed, and runbooks are maintained. We expect every engineer to be fluent in AI-assisted workflows and to actively look for opportunities to apply them. 

Qualifications :

Citrix Infrastructure (Primary Focus) 

1. Manage the full Citrix Virtual Apps stack in production: ADC/NetScaler (HA pairs), StoreFront, Delivery Controllers, Virtual Delivery Agents (VDAs), and Citrix Director 
2. Own ADC/NetScaler configuration: Unified Gateway, nFactor multi-factor authentication, ICA proxy, SSL certificate lifecycle, load balancing, and session policies 
3. Manage Machine Catalog and Delivery Group lifecycle using Machine Creation Services (MCS) on AWS, including golden image build and update workflows 
4. Administer StoreFront server groups: upgrades, propagation, subscription sync, and availability 
5. Manage user profile solutions using FSx with cloud file storage; troubleshoot profile issues, slow logons, and session reliability 
6. Own Citrix licensing: maintain license server health and manage the transition to License Activation Service (LAS) 
7. Monitor session health and performance via Citrix Director; serve as the escalation point for Citrix incidents 

Technical Leadership 

• Act as the team's subject-matter authority on Citrix — the person others escalate to for the hardest delivery and session problems 
• Set technical direction for the Citrix and AWS infrastructure: evaluate options, make architectural recommendations, and drive them to implementation 
• Mentor other engineers, review their work, and raise the team's overall capability in Citrix, AWS, and automation 
• Lead post-incident reviews and drive systemic fixes that prevent recurrence rather than one-off patches 
• Influence roadmap and prioritization for infrastructure work in partnership with engineering leadership 
• 8+ years of hands-on Citrix Virtual Apps and Desktops (CVAD) administration in a production environment, including ownership of a production estate at scale 
• 8+ years of AWS infrastructure experience: EC2, RDS, VPC design, Security Groups, IAM, SSM Parameter Store, Secrets Manager 
• Track record of operating independently and owning infrastructure decisions end-to-end with minimal oversight 
• Experience mentoring engineers and influencing technical direction across a team.

Location : Bangalore Remote.

Strong Cloud Automation Architect Profile

Mandatory (Experience 1) – Must have 8+ years of total experience with the last 6–7 years focused continuously on hands-on infrastructure automation in enterprise environments

Mandatory (Experience 2) – Must have expert-level Ansible engineering, including advanced Jinja2 templating, dynamic inventory, custom module development, and designing enterprise-grade playbooks, roles, and collections across AWS, Azure, VMware, and REST-integrated environments

Mandatory (Experience 3) – Must have strong Kubernetes and Helm expertise, including custom Helm chart authoring, multi-environment lifecycle management (upgrades, rollbacks, canary releases), namespace management, RBAC, secrets, and network policies — with GitOps adoption via ArgoCD or Flux

Mandatory (Experience 4) – Must have deep Terraform knowledge, including reusable module design covering AWS networking, IAM, EKS, ECS, RDS, and security controls — with CI/CD integration (GitHub Actions or Azure DevOps) including automated testing, linting, drift detection, and policy enforcement

Mandatory (Experience 5) – Must have solid AWS architecture knowledge, including serverless and event-driven automation (Lambda, Step Functions, Event Bridge, SNS/SQS, S3 triggers, Systems Manager), IAM design, cross-account automation across AWS Organizations, and multi-account networking aligned with CIS, NIST, and AWS Well-Architected standards

Mandatory (Experience 6) – Must have experience with security and compliance automation including CIS benchmark enforcement, vulnerability remediation, infrastructure hardening, certificate lifecycle management, and integration with CyberArk, AWS Secrets Manager, and SSM Parameter Store

🚀 We're Hiring | Contract Role

Position: .NET & SQL Developer

📍 Location: Indore

💼 Experience: 6–10 Years

🕒 Shift: 11:30 AM – 8:30 PM IST

If you're available or have suitable consultants on your bench, we'd love to connect.

📩 DM me or share relevant profiles.

#Hiring #DotNet #SQL #ContractJobs #IndoreJobs #ITHiring #HiringNow #BenchSales #TechJobs

Supercharge Your Career as a AI DevOps Engineer at Technoidentity!

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

What’s in it for You?

We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.

What Will You Be Doing?

• Develop and deploy AI/ML and Generative AI solutions using Python.
• Build applications leveraging LLMs, RAG, and AI agents.
• Create and maintain CI/CD pipelines for AI applications.
• Deploy and manage workloads using Docker and Kubernetes.
• Support cloud platforms (AWS, Azure, or GCP).
• Implement Infrastructure as Code (Terraform) and automation workflows.
• Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
• Collaborate with engineering teams to ensure system reliability, performance, and security.
• Contribute to MLOps practices, AI accelerators, and reusable frameworks.

Requirements

What Makes You the Perfect Fit?

• Python programming (mandatory)
• Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
• Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
• Docker, Kubernetes, Git, and CI/CD tools
• AWS, Azure, or GCP
• PostgreSQL; MongoDB and Vector Databases are a plus
• Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
• Familiarity with observability and monitoring tools

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
• 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas

Nice to Have

• Experience with Agentic AI frameworks
• Knowledge of MLOps and AI platform operations
• Exposure to enterprise-grade monitoring, reliability engineering, and security best practices

Principal DevOps Engineer

Note - Screening Requirement: Please note that this position requires a minimum of 8+ years of hands-on Architecting DevOps/SRE/Platform Engineering experience specializing in AWS, EKS/Kubernetes, Terraform, Python, Jenkins, and AI workflows (Mandatory skills) from scratch.

We are looking for an absolute builder who has a proven track record of personally architecting, designing and setting up production-grade AWS EKS clusters entirely from scratch. If your experience is primarily limited to managing, maintaining, or optimizing pre-existing environments that were already stood up by another team, this is not the right opportunity for you.

Who are we?

Securin is an AI-driven cybersecurity company focused on proactive, adversarial exposure and vulnerability management. Our mission is to help organizations reduce cyber risk by identifying, prioritising, and remediating the issues that matter most. Powered by a seasoned team of threat researchers and status as a Certified Naming Authority (CNA), Securin combines artificial intelligence / machine learning, threat intelligence, and deep vulnerability research (including the Dark Web) to deliver an adversarial approach to cyber defense. We help enterprises shift from reactive patching to strategic, risk-based exposure and vulnerability management – driving smarter security decisions and faster remediation.

What do we promise?

We are a highly effective tech-enabled cybersecurity solutions provider and promise continual security posture improvement, enhanced attack surface visibility, and proactive prioritized remediation for every one of our client businesses.

What do we provide?

● A chance to be on the leading edge of cybersecurity and AI

● Ability to have direct impact on company growth and revenue strategy

● An opportunity to mentor and be mentored by experts in multiple disciplines

What do we deliver?

Securin helps organizations to identify and remediate the most dangerous exposures, vulnerabilities, and risks in their environment. We deliver predictive and definitive intelligence and facilitate proactive remediation to help organizations stay a step ahead of attackers. By utilising our cybersecurity solutions, our clients can have a proactive and holistic view of their security posture and protect their assets from even the most advanced and dynamic attacks.

Securin has been recognized by national and international organizations for its role in accelerating innovation in offensive and proactive security. Our combination of domain expertise, cutting-edge technology, and advanced tech-enabled cybersecurity solutions has made Securin a leader in the industry.

Core Technology Stack

AWS , EKS / Kubernetes, Jenkins , Python ,Terraform ,CI/CD , AI

Key Responsibilities:

● Architect and manage the end-to-end SaaS platform infrastructure on AWS, including EKS cluster design, VPC networking, IAM, and multi-region availability.

● Build, maintain, and optimize Jenkins-based CI/CD pipelines and develop Python automation scripts for provisioning, deployments, and runbook automation.

● Define and enforce platform SLOs/SLAs; own the observability strategy across logging, metrics, and tracing.

● Manage and participate in the on-call rotation; act as escalation point for P1/P2 incidents and drive post-incident reviews.

● Drive Infrastructure-as-Code (IaC) practices with Terraform/CloudFormation and champions a culture of automation and operational excellence.

● Collaborate cross-functionally with product, security, and engineering teams to align infrastructure roadmap with business goals.

● Identify opportunities to leverage AI to automate operational and DevOps workflows.

● Design and implement AI-assisted solutions for incident triaging, root cause analysis, log analysis, and performance optimization.

● Drive the adoption of AI-powered tools for infrastructure management, deployment automation, monitoring, and troubleshooting.

● Build intelligent workflows that reduce manual effort in release management, capacity planning, and operational support.

● Integrate AI capabilities into CI/CD pipelines to improve code quality, deployment reliability, and operational efficiency.

● Collaborate with engineering teams to automate repetitive tasks and improve developer productivity.

● Define best practices and governance for the safe and effective use of AI across DevOps processes.

● Measure and report on productivity gains, operational improvements, and cost savings achieved through AI adoption.

Requirements:

● 8+ years of experience in DevOps, SRE, or cloud infrastructure engineering roles.

● Deep hands-on expertise with AWS services (EC2, EKS, RDS, S3, IAM, VPC, CloudFront, Route53, Lambda, etc).

● Strong Kubernetes experience: cluster management, Helm, autoscaling (HPA/KEDA).

● Proficiency with Jenkins for complex CI/CD pipeline design and maintenance.

● Solid Python scripting skills for automation, tooling, and infrastructure management tasks.

● Experience with Infrastructure-as-Code using Terraform and/or AWS Cloud Formation.

● Proven track record of architecting and managing end-to-end SaaS products in a cloud-native environment.

● Strong understanding of networking fundamentals, security best practices, and compliance frameworks (SOC 2, ISO 27001 a plus).

● Hands-on experience with on-call processes and incident management frameworks.

Preferred Qualifications:

● AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, or equivalent.

● Familiarity with service mesh, secrets management (Vault, AWS Secrets Manager), and zero-trust security models.

● Experience with multi-tenant SaaS architectures and tenant isolation strategies.

● Knowledge of FinOps principles and AWS cost management tooling.

● Experience with database DevOps: RDS, Aurora schema migrations, and backup strategies.

Core Competencies:

● Strategic Thinking – ability to translate business goals into scalable technical architecture.

● Operational Excellence – strong bias for reliability, automation, and continuous improvement.

● Communication – ability to clearly articulate complex technical topics to non-technical stakeholders.

● Ownership Mindset – proactively identifies and resolves risks without waiting to be asked.

● Resilience Under Pressure – calm and decisive during incidents; leads by example in high-stress situations.

Why should we connect?

We are a bunch of passionate cybersecurity professionals who are building a culture of security. Today, cybersecurity is no more a luxury but a necessity with a global market value of $150 billion.

At Securin, we live by a people-first approach. We firmly believe that our employees should enjoy what they do. For our employees, we provide a hybrid work environment with competitive best-in-industry pay, while providing them with an environment to learn, thrive, and grow. Our hybrid working environment allows employees to work from the comfort of their homes or the office if they choose to. For the right candidate, this will feel like your second home.

If you are passionate about cybersecurity just as we are, we would love to connect and share ideas

About Ritually

Ritually is building the definitive process discovery platform for back office work. Our product fuses underutilized system telemetry with computer vision to help large enterprise and scaling mid-market companies deeply understand and reimagine their highest value and most repetitive processes for a world where humans and agents work together. We're based in New York and Denver.

We believe deeply in trust (of our customers and each other), craft, customer obsession, and speed.

You'll be joining an AI-native, fast-moving, and repeat founding team. Ritually's founders previously built and exited a startup (Involvio) to Cisco. The company is funded and working with design partners.

The Role

This is a founding full-stack role. You'll be building our application with the founding team from 0-1 You'll own features and infra end to end and across technologies. You'll also own how we build: ensuring our AI development workflow is fast, dependable and secure.

What You'll Do

• Build features end to end, across our desktop client, web app, and the backend services that tie them together.
• Go deep in our cross-platform Electron desktop client the native OS integration that powers on-device capture, and the on-device privacy and redaction that runs before data leaves the machine.
• Move fluidly across technologies and layers, picking up whatever a problem needs rather than staying in one corner of the stack.
• Own the infrastructure and deployment path CI/CD, releases, and the cloud services everything runs on so shipping stays routine and reliable.
• Own how we build: keep our AI development workflow fast, dependable, and secure and establish the conventions, tooling, and guardrails that let a small team build like a much larger one.
• Own observability and on-call basics logging, error tracking, and alerting so we catch issues before our customers do.
• Help set technical direction and keep the codebase legible as we scale the engineering team.

What We're Looking For

• 1-4 years building software across the stack frontend, backend, and the glue between them (internships and meaningful side projects count).
• Comfort working across multiple languages and technologies, and a genuine willingness to learn whatever a problem requires.
• Solid fundamentals in shipping production software version control, testing, debugging, and deployment.
• Experience with, or strong interest in, owning infrastructure and devops: CI/CD, cloud services, and reliability.
• Genuine excitement about AI-native development you've used AI coding agents and want to push how far they can go.
• Comfort with ambiguity and a willingness to own problems end to end in a small team.

Nice to Have

• Experience building desktop applications (Electron or native).
• Experience building internal tooling or automation that made a team measurably faster.
• Experience building applications for on-premise deployment.
• Familiarity with managed backend platforms and AI agent tooling.
• Any prior early-stage startup experience.
• Degree in computer science or a related field.

About the Internship

SkillSecure X is looking for motivated DevOps with AI Interns who are interested in cloud technologies, automation, CI/CD, containerization, and AI-powered DevOps practices. This internship provides hands-on experience through real-world projects and guided mentorship.

Responsibilities

• Assist in building and maintaining CI/CD pipelines.
• Learn and work with Docker, Git, and cloud platforms.
• Support deployment automation and infrastructure management.
• Explore AI tools to improve DevOps workflows and monitoring.
• Monitor application performance and troubleshoot basic issues.
• Complete weekly assignments and document project progress.

Required Skills

• Basic knowledge of Linux and Git.
• Understanding of DevOps concepts and software development lifecycle.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Basic scripting knowledge (Python, Bash, or Shell).
• Strong problem-solving and analytical skills.

Eligibility

• Undergraduate or postgraduate students.
• Recent graduates.
• Students pursuing Computer Science, Information Technology, Software Engineering, Cloud Computing, DevOps, or related disciplines.

Benefits

• Hands-on DevOps and AI project experience.
• Mentor-guided learning.
• Internship Completion Certificate.
• Letter of Recommendation (based on performance).
• Portfolio-building opportunities.
• Flexible remote internship.

Job Title : React Native SDE 3

Experience : 8+ Years

Employment Type : Contract to Hire (C2H)

Location : Bangalore (Hybrid – 3 Days WFO)

Notice Period : Immediate to 15 Days

Job Summary :

We are looking for an experienced React Native Developer to join its mobile engineering team and help build scalable, high-performance applications used by millions of customers.

This is a founding React Native team opportunity where you'll play a key role in defining architecture, best practices, and driving the migration from native Android/iOS applications to React Native.

Mandatory Skills :

Strong React Native development, JavaScript/TypeScript, Mobile Application Architecture, GraphQL API Integration, Android & iOS Platform Knowledge, Mobile Performance Optimization, Accessibility Standards, CI/CD & DevOps Practices, Agile Methodologies (TDD/BDD), System Design, and experience building scalable consumer-facing mobile applications.

Required Skills :

• Strong hands-on experience in React Native development.
• Experience building and architecting mobile applications.
• Good understanding of Android and iOS platforms.
• Experience with GraphQL APIs.
• Strong knowledge of JavaScript/TypeScript.
• Experience with CI/CD, Agile, and DevOps practices.
• Knowledge of mobile performance optimization and accessibility standards.
• Strong problem-solving and communication skills.

Key Responsibilities :

• Develop and maintain React Native applications.
• Work closely with Product, Backend, QA, and Mobile teams.
• Design scalable and maintainable mobile solutions.
• Participate in coding, testing, deployment, and support activities.
• Contribute to architecture decisions and engineering best practices.

Interview Process :

1. Technical Interview (Geektrust)
2. Client Coding Round
3. Client System Design Round
4. Managerial Round (Optional)

About the Role

We are looking for passionate and driven interns across multiple technology domains including Frontend Development, Backend Development, DevOps, AI/ML, and Data Engineering. This internship offers hands-on experience in real-world projects, collaboration with cross-functional teams, and exposure to modern tools and technologies. 

Domains & Responsibilities 

Frontend Development 

• Build responsive and user-friendly web interfaces  
• Translate UI/UX designs into functional applications  
• Optimize performance and ensure cross-browser compatibility  

 Backend Development 

• Develop APIs and server-side logic  
• Work with databases and data storage solutions  
• Ensure application security and performance  

 DevOps 

• Assist in CI/CD pipeline setup and automation  
• Manage deployments and cloud infrastructure  
• Monitor system performance and reliability  

 AI / Machine Learning 

• Develop and train ML models  
• Work on NLP, automation, or AI-driven features  
• Analyze datasets and evaluate model performance  

 Data Engineering 

• Build and maintain data pipelines (ETL/ELT)  
• Ensure data quality and availability  
• Work with large datasets and optimize data workflows  

 Required Skills (Any Domain) 

• Frontend: HTML, CSS, JavaScript, React/Vue/Angular  
• Backend: Node.js / Python / Java / PHP, APIs, databases  
• DevOps: Linux, Git, CI/CD basics, cloud fundamentals  
• AI/ML: Python, ML basics, TensorFlow/PyTorch/Scikit-learn  
• Data Engineering: SQL, Python, data processing concepts  

 Good to Have 

• Knowledge of Git and version control  
• Basic understanding of cloud platforms (AWS/Azure/GCP)  
• Problem-solving mindset and willingness to learn  
• Exposure to real-world or academic projects  

 Who Should Apply 

• Students or recent graduates in Computer Science, IT, or related fields  
• Candidates with strong interest in any of the above domains  
• Self-learners with project experience are highly encouraged  

 Internship Details 

• Duration: 3–6 months  
• Mode: Remote  
• Certificate + PPO (Pre-Placement Offer) based on performance  

 What You’ll Gain 

• Hands-on experience with real projects  
• Mentorship from experienced professionals  
• Exposure to industry tools and workflows  
• Opportunity to convert to a full-time role 

DevOps Engineer

AWS Infrastructure, CI/CD & Production Operations

Mumbai (On-site) | Full-time | 2-4 years

About the role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a DevOps Engineer who will own day-to-day cloud infrastructure, deployment automation, and production operations across active customer engagements.

The mandatory requirement for this role is hands-on production experience on AWS, with infrastructure as code, container orchestration, and CI/CD pipelines owned end to end on at least one live customer workload. The role is hands-on. Expect to operate Kubernetes clusters, build CI/CD pipelines, automate environment provisioning, manage TLS and DNS, set up observability, and partner with backend and AI engineers to ship reliably. A typical week includes a Terraform refactor, a deployment pipeline build for a new service, an incident response on a production cluster, and a cost review.

Responsibilities:

• AWS infrastructure: Design and operate production infrastructure on AWS using EC2, EKS or ECS, S3, RDS, IAM, VPC, CloudFront, and Route53. Own configuration, networking, and cost.
• Infrastructure as code: Write and maintain Terraform or Pulumi modules. Drive consistency across environments and tenants through IaC rather than manual configuration.
• Kubernetes and containers: Operate production EKS clusters. Manage Helm charts, Ingress, autoscaling, secrets, and workload isolation.
• CI/CD pipelines: Build and maintain pipelines using GitHub Actions, GitLab CI, or equivalent. Include automated tests, security scans, and rollback paths.
• TLS, DNS, and CDN automation: Automate domain provisioning, TLS issuance (Let's Encrypt, cert-manager, ACM), and CDN configuration (CloudFront, Cloudflare).
• Observability and incident response: Set up monitoring, logging, and alerting using Prometheus, Grafana, ELK, Loki, or CloudWatch. Lead incident response and write postmortems.
• Secrets and security: Manage secrets through Vault, AWS Secrets Manager, or KMS. Apply least-privilege IAM and review access regularly.
• Cost monitoring: Track and optimise AWS spend across environments. Surface waste and propose remediations.
• 
  

Requirements:

• Hands-on AWS production experience (mandatory). Must have personally operated production workloads on AWS, with responsibility for IaC, deployments, and incident response on at least one live customer or internal-platform deployment. POCs and lab environments do not qualify.
• 2 to 4 years of hands-on DevOps or infrastructure experience. Candidates with slightly less experience but strong demonstrated ownership are welcome to apply.
• AWS depth. Hands-on with EC2, S3, IAM, VPC, EKS or ECS, RDS, CloudFront, and Route53. Working knowledge of CloudWatch and AWS cost tooling.
• Kubernetes in production. Hands-on operation of EKS or equivalent. Comfort with Helm, Ingress controllers, autoscaling, and resource quotas.
• Infrastructure as code. Strong with Terraform (preferred) or Pulumi. Modular code, state management, and review discipline.
• CI/CD pipelines. Production experience with GitHub Actions, GitLab CI, or equivalent. Comfort with multi-environment pipelines and release strategies.
• Scripting and automation. Strong Bash and Python (or Go) for tooling. Linux fluency at the command line.
• Observability stack. Hands-on with Prometheus, Grafana, ELK or Loki, and at least one APM tool (Datadog, New Relic, or equivalent).
• Networking, TLS, and security fundamentals. Comfortable with DNS, TLS certificate lifecycle, VPC peering, and security groups.



Nice to have: multi-tenant SaaS infrastructure experience; service mesh (Istio, Linkerd); GitOps (ArgoCD, Flux); sandboxed execution environments (Firecracker, gVisor); exposure to platform engineering or developer-platform teams.

Contract Job: DevOps / Azure DevOps

Contract Term: Max 3-6 months

Looking For Immediate joiners only

Remote Opportunity

• CI/CD, deployment, environment management, and release support
• This can be a shared capability/position as well

Mobile Automation Test Engineer 

Experience 5 – 12 Years

Location

Pune | Hyderabad | Vizag

About the Role

We are seeking an experienced Mobile Automation Testing professional with strong hands-on expertise in building and executing automation frameworks for mobile applications. This role is ideal for candidates who enjoy working in fast-paced environments and collaborating closely with cross-functional teams to ensure high-quality mobile solutions.

Key Responsibilities

• Design, develop, and execute mobile automation test scripts using Appium
• Build and maintain automation frameworks using Java and Selenium
• Perform automated testing for Android and/or iOS applications
• Integrate automation scripts with CI/CD pipelines in Agile or DevOps environments
• Analyze test results, identify defects, and work with development teams for resolution
• Participate in sprint planning, daily stand-ups, and other Agile ceremonies
• Ensure test coverage across functional, regression, and integration testing

Must-Have Skills

• 5+ years of hands-on experience in Mobile Automation Testing
• Strong programming experience in Java
• Solid expertise in Selenium and Appium
• Experience testing mobile applications (Android / iOS)
• Good communication and coordination skills
• Practical exposure to Agile and DevOps methodologies
• 
  

Additional Skills (Good to Have)

• Experience with CI/CD tools like Jenkins, Git, Maven/Gradle
• Knowledge of mobile device farms or cloud testing tools
• Exposure to API testing tools (Postman, REST Assured)
• Understanding of mobile test strategies and best practices
• 
  

Who Should Apply

• Automation testers looking to specialize in mobile platforms
• Candidates comfortable working in enterprise-scale testing environments
• Professionals who can independently handle automation deliverables
• 
  

About Us

CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.

Hybrid - 2 days in a week from Noida office

Key Responsibilities

• Design, develop, and maintain robust and scalable big data solutions
• Implement and manage CI/CD pipelines to automate the build, test, and deployment of data applications.
• Write high-quality, maintainable, and efficient code in Java.
• Create and manage build configurations using tools like Maven, Gradle, or Ant.
• Utilize Git for version control and to manage code repositories.
• Develop automation scripts using Bash and Python.
• Perform in-depth logging and debugging to identify and resolve issues in complex data systems.
• Develop and execute comprehensive test scripts to ensure the quality and reliability of data pipelines.

Requirement:

• Cloud Computing: Practical knowledge of GCP services, including VMs, GCS, and Dataproc or similar cloud data services.
• Programming: Proven proficiency in Java development.
• Build Tools: Solid experience with build automation tools like Maven, Gradle, or Ant.
• Version Control: Proficient in using Git.
• Big Data: Strong hands-on experience with the Hadoop ecosystem and Apache Spark.
• IDE: Experience with IntelliJ IDEA or similar development environments.
• CI/CD: A strong understanding of how CI/CD pipelines work and experience with relevant tools (e.g., Jenkins, GitLab CI).
• Scripting: Proficiency in Bash and Python.
• Operating Systems: In-depth knowledge of Linux distributions (Debian, Ubuntu, Rocky).
• Core Competencies:
• Excellent logging and debugging skills.
• Experience in writing test scripts and a commitment to software quality.
• Familiarity with the process of CVE resolutions.

Behavioural competencies required:

• Must have worked with US/Europe based clients in onsite/offshore delivery model
• Should have very good verbal and written communication, technical articulation, listening and presentation skills
• Should have proven analytical and problem solving skills
• Should have demonstrated effective task prioritization, time management and internal/external stakeholder management skills
• Should be a quick learner and team player
• Should have experience of working under stringent deadlines in a Matrix organization structure
• Should have demonstrated appreciable Organizational Citizenship Behavior (OCB) in past organizations

Senior MLOps Engineer

LLM Operations, Observability & Eval Infrastructure

📍 Mumbai (On-site) | Full-time | 5-7 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior MLOps Engineer for a dedicated client engagement focused on building an AI-powered application builder platform. The platform consumes LLMs at scale through provider APIs.

This role owns the operational discipline around production LLM consumption - increasingly called LLMOps - covering observability, evaluation infrastructure, model lifecycle, cost operations, prompt deployment, and agent run reliability.

The mandatory requirement is hands-on production experience operating LLM-backed systems, with a strong DevOps or SRE foundation. This is not a model training or ML science role.

The work is making the system around the AI engineer's designs observable, controlled, reliable, and economically accountable. You will pair daily with the Senior AI Engineer, who designs prompts, evals, and agent behaviour - you operationalise those systems for production.

A typical week includes a tracing audit on a degraded agent run, an eval pipeline build for a new model release, a cost attribution review, and a staged prompt rollout.

Responsibilities:

Observability and Tracing

Build and own end-to-end tracing for agent runs: every prompt, response, tool call, token count, latency, and cost, linked to user session and project.

Stand up and operate LLM observability tooling (Langfuse, LangSmith, Braintrust, or Arize Phoenix).

Make debugging a single bad agent run among thousands a routine workflow through searchable traces, failure taxonomies, and dashboards segmented by task type.

Evaluation Infrastructure as a Production System

Operationalise the eval suite designed by the Senior AI Engineer: automated execution in CI on every prompt or model change, with results stored and trended over time.

Implement regression gates that block quality-degrading changes from shipping.

Build production sampling to continuously score a sample of real agent runs and catch quality drift that offline evals miss.

Model Lifecycle Management

Pin model versions, never "latest".

Own the upgrade process: run the eval suite against new model releases and manage eval-gated migrations.

Maintain fallback chains across providers for graceful degradation or queueing during outages.

Track provider deprecation schedules and plan migrations ahead of forced cutoffs.

Cost Operations

Implement per-user and per-task cost attribution - token spend is the platform's largest variable cost and requires the same rigour as cloud cost management.

Set up budget alerts and anomaly detection so a single user or bug cannot burn significant spend overnight.

Monitor prompt cache hit rates and quantify savings.

Manage capacity planning around provider rate limits, including quota negotiation and throughput tiering.

Prompt and Configuration Deployment

Treat prompts as production artifacts: version control for prompts and agent configurations, staged rollout infrastructure (deploy a prompt change to a percentage of traffic before full rollout), A/B testing infrastructure, instant rollback, and audit history covering which prompt version served which user and when.

Reliability Engineering for Agent Runs

Agent runs are long, stateful, and failure-prone.

Own retry and resume semantics so a run that fails mid-way does not restart from scratch.

Implement timeouts and circuit breakers on provider calls, dead-letter handling for failed runs, and queue and concurrency management for agent workloads.

SLO Ownership and Incident Response

Define and track SLOs for agent run latency and completion rates.

Lead incident response when SLOs are breached.

Write postmortems.

Surface reliability risks proactively before they reach users.

Safety and Compliance Operations

Run the moderation pipeline (prompt and output classification) in production.

Monitor for abuse patterns and own incident response when the agent misbehaves at scale.

Maintain audit logs and implement data retention and residency policies for prompts and generated code as enterprise requirements emerge.

AI-Assisted Engineering Discipline

Use Claude, Cursor, and similar tools day to day for infrastructure code, scripts, and pipelines.

Set the team standard for safe use, review, and validation of AI-generated infrastructure before it ships.

Requirements:

Hands-on production ownership of LLM-backed systems in operation (mandatory).

Must have personally shipped and operated at least one LLM-powered system in production, with operational responsibility including oncall, incident response, and reliability ownership.

Alternatively: strong DevOps or SRE background with demonstrated hands-on familiarity with LLMOps tooling (Langfuse, LangSmith, Braintrust, Arize, or equivalent).

POCs and lab work do not qualify.

5+ years of overall engineering experience

With at least 2 years in DevOps, SRE, platform engineering, or LLM operations roles.

This is not an ML science role.

A DevOps or SRE background with a substantive pivot into LLMOps is a strong qualification.

Observability and Tracing Depth

Production experience with LLM observability tooling - Langfuse, LangSmith, Braintrust, or Arize Phoenix.

Comfortable instrumenting with OpenTelemetry, Prometheus, and Grafana.

Able to build and search trace pipelines, define failure taxonomies, and surface quality signals from production traffic.

CI/CD and Quality Gate Experience

Strong with GitHub Actions or GitLab CI.

Experience building automated quality gates: eval-gated pipelines, regression enforcement, or coverage gates that block degrading changes from shipping.

Cost Management and Attribution for Usage-Based Services

Experience owning cost attribution for cloud API spend or equivalent.

Comfortable with budget alerts, anomaly detection, and per-user or per-task cost breakdowns.

Reliability Engineering for Long-Running, Stateful Workloads

Experience with queues, retry patterns, idempotency, and failure recovery on asynchronous or multi-step workloads.

Comfortable defining SLOs and being accountable for them on production systems.

Multi-Provider API Management

Familiarity with LLM provider rate limits, version pinning, fallback chains, and quota management across OpenAI, Anthropic, Google, or equivalent.

Infrastructure as Code and Deployment Automation

Hands-on with Terraform or Pulumi and Docker.

AWS working knowledge (EC2, S3, IAM, EKS or ECS).

Strong with CI/CD for deploying services and configuration changes safely.

Nice to Have

• Experience with prompt A/B testing or staged rollout infrastructure
• Workflow orchestration (BullMQ, Temporal, Celery)
• Content moderation pipeline experience
• Data residency and compliance requirements for AI systems
• Kubernetes (EKS) in production
• AWS certifications

Job Description: Azure Integration Specialist (BizTalk to Azure Integration Services)

Experience: 4+ Years

Location: Hybrid / Remote

Employment Type: Full-Time

Role Overview

We are seeking an experienced Azure Integration Specialist with 4+ years of experience in enterprise application integration, including hands-on expertise in Microsoft BizTalk Server and Azure Integration Services (AIS). The ideal candidate will be responsible for designing, developing, supporting, and migrating integration solutions from BizTalk Server to Azure-based integration platforms.

Key Responsibilities

* Design, develop, and maintain enterprise integration solutions using Azure Integration Services.

* Participate in migration projects from Microsoft BizTalk Server to Azure Integration Services.

* Develop and support Azure Logic Apps, Service Bus, API Management, Azure Functions, and Event Grid solutions.

* Analyze existing BizTalk applications, orchestrations, maps, pipelines, and adapters for migration and modernization.

* Build and consume REST and SOAP APIs and integrate with third-party applications.

* Collaborate with business stakeholders, architects, and development teams to gather integration requirements.

* Troubleshoot and resolve integration issues in production and non-production environments.

* Implement monitoring, logging, and alerting for integration solutions.

* Ensure security, scalability, performance, and compliance requirements are met.

* Prepare technical documentation, design specifications, and deployment procedures.

Required Skills

* 4+ years of experience in enterprise application integration.

* Strong experience with Microsoft BizTalk Server administration and development.

* Hands-on experience with Azure Integration Services:

  * Azure Logic Apps

  * Azure Service Bus

  * Azure API Management

  * Azure Functions

  * Event Grid

* Experience with XML, XSLT, JSON, and data transformation.

* Strong understanding of REST, SOAP, Web Services, and API integrations.

* Experience with Azure DevOps, CI/CD pipelines, and source control tools.

* Knowledge of integration patterns and messaging concepts.

* Good troubleshooting and analytical skills.

Preferred Skills

* Experience with BizTalk to Azure migration projects.

* Knowledge of Azure Monitoring, Application Insights, and Log Analytics.

* Experience with hybrid integration scenarios.

* Azure certifications are preferred.

Qualifications

* Bachelor’s degree in Computer Science, Information Technology, or a related field.

* Strong communication and stakeholder management skills.

* Ability to work independently and in a collaborative team environment.

About CNH

Connect and Heal (CNH) is a healthcare organization focused on transforming healthcare delivery through technology-enabled solutions, clinical excellence, and exceptional patient experiences. We build scalable digital platforms that support healthcare operations, patient engagement, telehealth, and enterprise healthcare services.

Role Summary

We are seeking a highly motivated Engineering Lead to drive the design, development, and delivery of scalable technology solutions that support CNH's business growth and healthcare operations. The role requires a strong blend of technical expertise, people leadership, architecture oversight, and execution excellence.

The Engineering Lead will lead engineering teams, collaborate with Product, Operations, Clinical, and Business stakeholders, and ensure delivery of high-quality, secure, and scalable products.

Key Responsibilities

Technical Leadership

• Lead the design, development, and deployment of scalable applications and platforms.
• Drive engineering best practices, coding standards, architecture reviews, and technical governance.
• Ensure system reliability, performance, security, and scalability.
• Evaluate and implement emerging technologies to improve product capabilities and engineering efficiency.

Team Leadership

• Build, mentor, and manage high-performing engineering teams.
• Conduct performance reviews, coaching, and career development discussions.
• Foster a culture of accountability, innovation, collaboration, and continuous learning.
• Support hiring and talent development initiatives.

Product & Delivery Management

• Partner with Product Managers and business stakeholders to translate business requirements into technical solutions.
• Drive sprint planning, prioritization, estimation, and delivery management.
• Ensure timely and high-quality execution of engineering roadmaps.
• Manage risks, dependencies, and technical debt effectively.

Stakeholder Management

• Collaborate with Operations, Clinical, Customer Success, and Business teams.
• Communicate project progress, risks, and outcomes to leadership.
• Support strategic initiatives through technology-driven solutions.

Quality & Compliance

• Ensure adherence to information security, data privacy, and healthcare compliance requirements.
• Establish monitoring, testing, and release management processes.
• Drive automation, observability, and operational excellence.

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, or related field.
• 8–12+ years of software engineering experience.
• 3–5+ years of experience leading engineering teams.
• Experience building and scaling enterprise-grade applications.

Technical Skills & Expertise

• Strong proficiency in modern programming languages such as Java, Python, Node.js, Golang, or .NET.
• Hands-on experience in designing and managing RESTful APIs, API Gateways, and Microservices Architecture.
• Strong knowledge of CI/CD Automation using tools such as Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or similar platforms.
• Experience in DevOps practices, including Infrastructure as Code (IaC), containerization (Docker), orchestration (Kubernetes), and cloud-native deployments.
• Expertise in cloud platforms such as AWS, Azure, or GCP.
• Experience implementing monitoring, logging, and observability solutions.
• Familiarity with modern databases, distributed systems, and high-availability architectures.
• Exposure to AI/ML tools, Generative AI solutions, LLMs, AI-assisted development tools (GitHub Copilot, Cursor, ChatGPT, etc.), and their integration into enterprise applications.
• Understanding of healthcare interoperability standards, APIs, and data security principles is desirable.

Additional Responsibilities

• Drive adoption of AI-powered engineering practices to improve developer productivity, code quality, and operational efficiency.
• Establish and maintain robust CI/CD pipelines to enable faster and more reliable software releases.
• Lead DevOps transformation initiatives, promoting automation, infrastructure scalability, and engineering excellence.
• Define and govern enterprise-wide API strategy, standards, security, and lifecycle management.
• Evaluate emerging technologies and AI innovations to support CNH's digital healthcare roadmap.

Preferred Candidate Profile

• 10–15 years of experience in software engineering, with 4–6 years in engineering leadership roles.
• Proven experience leading teams building cloud-native, API-first, AI-enabled platforms.
• Strong background in DevOps, CI/CD automation, platform engineering, and digital transformation initiatives.
• Experience managing engineering teams delivering mission-critical products at scale.

CNH offers an opportunity to build impactful healthcare technology solutions that improve access, quality, and patient outcomes while working with a passionate and mission-driven team.

Full Stack Engineers 

Location: Chennai 

Experience: 3+ Years 

Required Skills: 

• Strong knowledge of C#, .NET Core, Azure DevOps 
• Working knowledge of the JS frameworks – React, Angular etc 
• Experience in container-based development, AKS, Service Fabric etc 
• Experience in messaging queue like RabbitMQ, Kafka 
• Experience in Azure Services like Azure Logic Apps, Azure Functions 
• Experience in databases like SQL Server, PostgreSQL 

Job Description: 

We are looking for experienced product development engineers/experts who could join our cloud product engineering team to build the next gen applications for our global customers. If you are a technology enthusiast and have passion to develop enterprise cloud products with quality, security, and performance, we are eager to discuss with you about the potential role. 

Responsibilities: 

• Understand the business requirements and technical constraints and architect/design/develop. 
• Participate in the complete development life cycle. 
• Review the architecture/design/code of self and others. 
• Develop enterprise application features/services using Azure cloud services, C# .NET Core, ReactJS etc, implementing DevSecOps principles. 
• Own and be accountable for the Quality, Performance, Security and Sustenance of the respective product deliverables. 
• Strive for self-excellence along with enabling success of the team/stakeholders. 

Requirements: 

• 3 to 12 years of experience in developing enterprise software products 
• Knowledge of reporting solutions like PowerBI, Apache SuperSet etc 
• Knowledge of Micro-Services and/or Micro-Frontend architecture 
• Knowledge of Code Quality, Code Monitoring, Performance Engineering, Test Automation Tools 

Senior Software Engineer

Location: Pune, India (Hybrid)

Job Type: Full-Time

About This Role

As a Senior Software Engineer, you are a full-stack technical owner. You design the solution, write the hard code, mentor junior engineers, and ensure nothing reaches production that you would not be proud to review. You will work on cloud-native healthcare platforms serving major US health plans, and are expected to bring architecture thinking, AI proficiency, and a high ownership mindset to every sprint.

About Us

We are the Solutions-as-a-Service arm who represents a shift from traditional outsourcing models toward outcome-led execution.

We do not sell effort, transactions, or headcount. It delivers measurable business outcomes. Built on more than 130 years of combined healthcare payer expertise, the organization brings together deep domain knowledge, AI-driven platforms, and operational excellence to solve complex challenges across the payer ecosystem.

The group’s flagship company has spent over 17 years building cloud-native platforms that support health plans managing billions in premiums and millions of members. These capabilities are extended and positioned as the Industry OS for AI, enabling intelligent automation of complex workflows at scale. We integrate these strengths into a single execution model. Teams are embedded with clients from day one, applying proven workflows, platform intelligence, and domain expertise to accelerate outcomes without a learning curve.

With headquarters in Chicago and a global delivery center in Pune, and a team of 300+ professionals, we are focused on transforming payer operations across claims, enrollment, billing, provider data management, appeals and grievances, and independent dispute resolution.

What You’ll Do

•Own end-to-end design and delivery of full-stack features across .NET Core backend and React frontend

•Lead technical design sessions - propose solutions, evaluate trade-offs, document decisions

•Mentor and code-review junior and mid-level engineers; raise the technical bar of the team

•Communicate proactively with business teams, product, and client-facing leads on requirements and delivery timelines

•Troubleshoot and resolve complex production issues independently and with speed

•Enforce source code quality standards: pull request hygiene, branching discipline, and test coverage gates

•Drive Agile sprint ceremonies - own estimation, WBS breakdown, and sprint commitment

•Architect and integrate Azure PaaS services into the platform including AKS, App Services, Function Apps, Service Bus, and Key Vault

•Champion Claude AI and Claude Code across the team - demonstrate AI-assisted code scaffolding, test generation, and review acceleration

•Surface technical risks early; propose and own mitigation paths

Tech Stack

•App: .NET Core / C#, ASP.NET Core Web API, Entity Framework Core

•Frontend: React JS, JavaScript / TypeScript

•Scripting: Python - scripting, automation, and data processing

•Data: SQL Server, PostgreSQL, T-SQL, CQRS / MediatR

•Cloud: Azure AKS, App Services, Function Apps, Service Bus, Key Vault

•Delivery: Azure DevOps, CI/CD pipelines, Git

•AI: Claude AI, Claude Code, Anthropic API

What You Bring

•5 to 8 years of overall experience in software development

•.NET Core (C#) - deep, production-grade experience with complex backend systems

•ASP.NET Core Web API - design, versioning, authentication, and performance tuning

•React JS - component architecture, state management, and performance optimization

•Python - scripting, automation pipelines, or data processing tasks

•SQL Server and/or PostgreSQL - advanced query design, indexing, execution plans, and schema ownership

•CQRS pattern - practical implementation experience, MediatR preferred

•Design Patterns and SOLID Principles - applied, not just theoretical

•Entity Framework Core - including migrations, raw SQL fallback, and N+1 awareness

•Azure DevOps - pipeline creation and management, not just consumption

•Strong analytical and problem-solving skills - you debug what others cannot

•Excellent written and verbal communication in English

•Degree in Engineering, Computer Science, or equivalent from a recognized university

Good to Have

•Azure PaaS services - AKS, App Services, Function Apps, Service Bus, Key Vault, API Management

•Microservices architecture and inter-service communication patterns

•Unit and integration testing frameworks such as xUnit, NUnit, Moq, or TestContainers

•PostgreSQL advanced features - JSONB, partitioning, replication, or indexing strategies

•Infrastructure-as-Code exposure with Bicep or Terraform on Azure

•Healthcare payer domain knowledge - claims, enrollment, benefits, or provider data

•Familiarity with Anthropic API or LLM integration patterns in production applications

AI Proficiency

This is not a checkbox. We are an AI-native engineering org. We use Claude AI and Claude Code daily. As a Senior Engineer you are expected to:

•Use Claude Code or an equivalent AI coding assistant actively - integrated into your daily PR and design workflow

•Apply AI for intelligent test coverage, boilerplate acceleration, and architectural spike analysis

•Bring AI-assisted patterns into your team - teach, demonstrate, and help standardize usage

•Evaluate AI-generated code critically: know where it needs human oversight and correction

Functional Competencies

•Technical leadership - raise the quality bar through standards, reviews, and visible contribution

•Agile/Scrum mastery - sprint planning, retrospectives, and WBS discipline

•Cross-functional collaboration with product, infrastructure, and client-facing teams

•Mentorship - you make junior engineers better through reviews and pairing, not just criticism

•Outcome orientation - you measure success by shipped value and defect escape rate, not lines of code

Why Join Us

•Own complex, high-stakes engineering on healthcare SaaS platforms serving millions of members

•AI-native culture - Claude AI and Claude Code are daily tools, and you will help define how the team uses them

•Senior engineering voice in architecture, hiring, and technical direction

•Competitive base salary with strong performance-linked incentives

•Health insurance and learning and development support

•Hybrid setup from our Pune delivery center with direct access to US leadership

•Startup agility, enterprise domain depth, and a 300+ person global team behind you

Role: Azure Devops Consultant

Location: Bangalore

Fulltime

Work Mode: 5 Days Work From Office.

Responsibilities:

· Design and architect CI/CD pipelines and development automation solutions.

· Lead implementation of build versioning, packaging, and dependency

management strategies

· Define standards for code quality, security scanning, and automated testing

integration

· Create reference architectures for development workflows and automation

patterns

· Collaborate with security teams to implement "shift-left" security practices

· Guide implementation of A/B testing and feature flagging architectures

Skills:

· Strong expertise in Azure DevOps,PAAS, Git, CI/CD practices

· Deep understanding of SDLC and automation

· Containerization (Docker, Kubernetes)

· Security scanning tools (Veracode, SonarQube)

· Build tools and artifact management

· IaC (Terraform, ARM templates)

We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives.

The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization.

Key Responsibilities

Cloud Architecture & Engineering

• Design and implement scalable, secure, and highly available solutions on Microsoft Azure.

• Define cloud architecture standards, reference architectures, and best practices.

• Lead cloud migration and modernisation initiatives across enterprise workloads.

• Implement multi-region disaster recovery and business continuity strategies.

• Oversee Azure networking, identity, security, and governance frameworks.

DevOps & CI/CD

• Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.

• Drive DevSecOps culture — embedding security scanning, quality gates, and compliance into the delivery pipeline.

• Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates.

• Establish branching strategies, release management, and environment promotion standards.

• Define and enforce platform engineering standards and internal developer tooling.

AI & Machine Learning Integration

• Architect AI/ML solutions leveraging Azure AI services — Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services.

• Design intelligent automation and agentic workflows integrated into enterprise DevOps processes.

• Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation.

• Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls.

• Design and implement enterprise MLOps frameworks.

• Build automated model training, validation, deployment, and monitoring pipelines.

• Establish model governance and lifecycle management.

Generative AI & Agentic AI

• Design enterprise GenAI solutions using Azure OpenAI.

• Build AI Agents using Azure AI Foundry.

• Develop Agent-to-Agent communication patterns.

• Implement Retrieval Augmented Generation (RAG) architectures.

• Build enterprise Knowledge Management and AI Skill Registry platforms.

• Design multi-agent orchestration frameworks.

Leadership & Stakeholder Engagement

• Serve as the technical authority and subject matter expert for Azure AI and DevOps practices.

• Mentor and guide junior architects, developers, and DevOps engineers.

• Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions.

• Produce architecture documentation, decision records (ADRs), and roadmaps.

• Represent the technology function in enterprise architecture forums and governance boards.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

• 10+ years of experience in cloud engineering and architecture.

• 5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services.

• Proven experience designing and implementing enterprise-grade CI/CD pipelines.

• Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).

• Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).

• Deep knowledge of DevSecOps principles, tools, and practices.

• Experience with containerisation and orchestration: Docker, Kubernetes (AKS).

• Proficiency in scripting and development: Python, PowerShell, Bash.

• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Microsoft Certified: Azure Solutions Architect Expert.

• Microsoft Certified: DevOps Engineer Expert.

• Microsoft Certified: Azure AI Engineer Associate.

• Experience with Azure API Management (APIM), Event Grid, and Azure Functions.

• Familiarity with Datadog, Prometheus, or equivalent observability platforms.

• Experience in the real estate, retail, or enterprise industry sector.

• Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).

• Background in building Internal Developer Platforms (IDP).

Key Focus Areas:-

• Scalable SaaS and distributed systems

• Microservices architecture

• Backend performance and API optimization

• Cloud infrastructure and DevOps

• Multi-tenant platforms

• Reliability, scalability, and engineering governance

Main Responsibilities:-

• Design fault-tolerant backend systems

• Lead architecture decisions and technical planning

• Improve system performance, scalability, and deployment workflows

• Guide senior developers and enforce engineering standards

• Reduce technical debt and solve complex production issues

• Collaborate with DevOps on CI/CD, monitoring, and AWS infrastructure.

• You will work on complex, enterprise-scale systems including large SaaS platforms, distributed backend architectures, pricing intelligence engines, CRM solutions, 3D configuration ecosystems, route optimization modules, payment integrations, high-volume APIs, and modern cloud infrastructure.

• We are not looking for a “people manager who used to code.

Required Skills:-

• Backend: Node.js, TypeScript, REST APIs, event-driven systems

• Frontend Understanding: React.js architecture concepts

• Databases: PostgreSQL, MySQL, Redis, query optimization

• Cloud/DevOps: AWS, Docker, CI/CD, Kubernetes (preferred)

• System Design: Microservices, distributed systems, high-availability SaaS platforms

Preferred Experience:-

• SaaS product companies

• Enterprise CRM systems

• Large-scale production platforms

• Pricing engines, WebGL/3D systems, AI-assisted workflows

• U.S.-based product engineering environments

Experience Needed:-

• 10–15 years in software engineering

• 3+ years in architect/principal engineer/engineering lead roles

• Proven experience building scalable production systems

Ideal Candidate:-

A technically strong, ownership-driven architect who:

• Thinks strategically

• Stays calm under pressure

• Solves complex engineering problems

• Mentors teams effectively

• Builds long-term scalable systems rather than quick fixes

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description

We are looking for a skilled DevSecOps Engineer who can help design, automate, and secure cloud-native platforms for healthcare and life sciences clients. The ideal candidate will have hands-on experience with cloud security, infrastructure automation, CI/CD pipelines, compliance controls, and platform operations in regulated environments.

You will work closely with engineering teams, architects, security stakeholders, and client representatives to build secure-by-design systems that meet healthcare security and compliance requirements. Experience supporting AI/ML platforms, healthcare data platforms, or regulated workloads is highly desirable.

Roles and Responsibilities

• Design and implement security controls aligned with healthcare regulations, including HIPAA, HITRUST, and industry security best practices
• Ensure secure handling of Protected Health Information (PHI), Personally Identifiable Information (PII), and sensitive healthcare datasets
• Support client security reviews, vendor assessments, penetration testing remediation, and compliance audits
• Partner with engineering teams to establish secure SDLC practices and shift-left security initiatives
• Implement cloud governance policies, security baselines, and compliance automation across multiple client environments
• Build and maintain audit-ready logging, monitoring, and evidence collection mechanisms
• Support disaster recovery, business continuity, and security incident response processes
• Collaborate with healthcare product teams working on FHIR APIs, healthcare integrations, clinical applications, genomics platforms, or AI-enabled healthcare solutions
• Experience working with healthcare, life sciences, biotech, genomics, digital health, or regulated SaaS platforms is strongly preferred
• Understanding of PHI, PII, healthcare security controls, and healthcare compliance requirements
• Familiarity with healthcare interoperability standards such as FHIR, HL7, SMART on FHIR, or healthcare APIs is a plus
• Experience securing healthcare data platforms, analytics environments, AI/ML workloads, or regulated cloud environments is highly desirable
• Ability to work directly with client stakeholders and communicate security risks, recommendations, and remediation plans
• Experience participating in security assessments, audits, compliance reviews, and client-facing technical discussions
• Strong documentation and security governance skills

Requirements

• 4–7 years of experience in DevOps, DevSecOps, SRE, or Platform Engineering
• Strong experience with AWS, Azure, or GCP and cloud security best practices
• Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps
• Experience with security tools, including SonarQube, Snyk, Checkmarx, Fortify, Veracode, or similar platforms
• Strong understanding of vulnerability management, IAM, threat detection, and security scanning
• Experience implementing compliance controls aligned with one or more of the following frameworks:
• HIPAA
• HITRUST
• SOC 2
• ISO 27001
• NIST Cybersecurity Framework
• PCI-DSS (where applicable)
• FDA-regulated software environments (preferred)
• Proficiency with Terraform, CloudFormation, ARM, Docker, Kubernetes, Linux, and shell scripting
• Experience with monitoring and observability tools such as Prometheus, Grafana, ELK, or Datadog
• Exposure to MLOps/AI platforms, model deployment, or AI workload management is desirable
• Strong troubleshooting, automation, networking, and cloud security skills

Why Join Us?

• Opportunity to work on a cutting-edge healthcare product
• A collaborative and learning-driven environment
• Exposure to AI and software engineering innovations
• Excellent work ethic and culture

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you!

Required Skills

● Experience: Minimum of 5 years of professional experience in a DevOps Engineer

role

● Cloud Proficiency: Proven experience with at least one major cloud provider (AWS,

Azure, or GCP).

● Scripting & Programming: Strong scripting skills in languages such as Bash, Python,

or Go.

● IaC Tools: Hands-on experience with Terraform.

● Container Technology: Expertise in Docker and Kubernetes.

● CI/CD Tools: Proficient with CI/CD platforms like Jenkins, GitLab CI, or Travis CI.

● Configuration Management: Experience with configuration management tools like

Ansible, Chef, or Puppet.

● Version Control: Strong knowledge of Git and branching strategies.

● Problem-Solving:Excellent problem-solving abilities and a commitment to automation

and continuous improvement.

Job Title:  Sr. AI Ops Engineer

Experience: 8+ Years

Location: Remote

We’re looking for a hands-on Lead AI Ops Engineer to drive AI-powered automation across enterprise infrastructure. This role involves working closely with senior stakeholders to identify opportunities and implement Agentic / AIOps solutions at scale.

 What You’ll Do

• Identify automation opportunities across Cloud & Enterprise Infrastructure
• Design & build AI/Agentic solutions aligned with AIOps frameworks
• Collaborate with Principal Engineers / Directors on high-impact initiatives
• Own end-to-end delivery: Problem → Solution → Deployment

 Tech Stack

• Must: Python
• Good to have: JavaScript, Java, Scala, R
• AI/ML: Databricks, MLflow
• Frameworks: LangChain, LangGraph, LLaMA, Cohere, DBRX
• Cloud: AWS, Azure, GCP
• Others (Plus): Google ADK, MCP, A2A, Argo

 Ideal Profile

• Strong engineering maturity & ownership
• Experience in AI-driven automation / AIOps
• Ability to work directly with senior technical stakeholders

 Why Apply?

Work on cutting-edge AI Ops & Agentic automation in a large-scale enterprise environment with high visibility.

Job Details:

• Role: Principal Engineer, Salesforce Health cloud
• Experience: 9-11 Years
• Employment Type: Full-time
• Work Mode: Remote

REQUIREMENTS:

• Should be able to lead end-to-end Salesforce Health Cloud solution architecture and delivery for large, enterprise healthcare implementations.
• Deep expertise in Health Cloud features, including Patient/Member Profiles, Care Plans, Care Programs, Care Teams, Health Timelines, Assessments, Care Gaps, and Utilization Management.
• Strong leadership in translating complex healthcare business requirements into scalable Salesforce Health Cloud solutions.
• Should be able to drive architectural decisions covering Salesforce core, Health Cloud extensions, integrations, data models, and automation.
• Should have hands-on leadership experience with Apex, Lightning Web Components (LWC), Flows, Triggers, Batch Apex, and Salesforce APIs.
• Should be able to define and govern integration architecture using REST/SOAP APIs, middleware, and healthcare standards such as FHIR and HL7.
• Must have strong understanding of EHR/EMR integrations, payer/provider workflows, and patient/member lifecycle management.
• Should be able to lead all phases of the delivery lifecycle requirements, solution design, development, testing, deployment, and post-go-live support.
• Provide technical governance, conduct design/code reviews, and manage architectural risks and technical debt.
• Should be able to lead and mentor multi-shore Salesforce teams, including developers, admins, QA, and offshore delivery teams.
• Should have hands-on experience with DevOps and CI/CD tools such as Copado, Git, Azure DevOps, Jenkins.
• Should be able to collaborate closely with program managers to manage scope, timelines, risks, and delivery commitments.
• Should be able to drive innovation and continuous improvement, including PoCs, adoption of new Salesforce Health Cloud features, and platform enhancements.
• Should be able to participate in roadmap planning, release strategy, and long-term platform evolution discussions.
• Must have strong experience working in Agile / Scaled Agile environments, supporting sprint planning and release management.
• Excellent communication, leadership, decision-making, and stakeholder management skills.
• Mentoring the team members to meet the client's needs and holding them accountable for high standards of delivery.
• Being able to understand and relate technology integration scenarios and be able to apply these learnings in complex troubleshooting scenarios.

RESPONSIBILITIES:

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
• Own overall Health Cloud technical strategy, ensuring scalability, security, and compliance with healthcare regulations (HIPAA/PHI).Showcasing a consulting mindset by acting as a solution provider rather than an order taker.
• Act as a trusted advisor for business stakeholders, architects, and senior leadership on Health Cloud capabilities and best practices.
• Review and approve high-level and low-level technical designs, ensuring alignment with enterprise architecture standards.
• Ensure adoption of Salesforce best practices, governor limit optimization, performance tuning, and code quality standards.
• Guide teams on Salesforce security model, data access, sharing rules, consent management, and compliance needs.
• Identifying project/service stakeholders at an early stage and working with them to ensure that the
• Act as a bridge between business stakeholders and Salesforce technical teams.
• Collaborate with Salesforce Architects and Developers to design scalable, best-practice solutions.
• Validate solution feasibility against Salesforce platform capabilities and project constraints.
• Prepare and maintain process flows, business process models, functional diagrams, and documentation.
• Participate actively in Agile/Scrum ceremonies including sprint planning, backlog grooming, daily stand-ups, sprint reviews, and retrospectives.
• Act as a trusted advisor to users by explaining Salesforce capabilities and solution trade-offs.
• Support user adoption through training materials, user guides, and release notes.
• Analyze existing Salesforce implementations and recommend process improvements and optimization opportunities.
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

We are seeking a highly skilled and motivated Business Analyst to join our team delivering bespoke 

software solutions to our clients. In this role, you will translate business needs into clearly written 

user stories with testable acceptance criteria that act as the contract between client intent and what 

the development team builds. You will be the bridge between Clients, Developers and the Project 

Manager — and the person accountable for ensuring that what gets delivered is what the business 

actually asked for.

Experience of documenting key projects artefacts and have a good understanding of SDLC. Basic 

understanding of the Microsoft power platform tools.

Responsibilities:

• Being part of a team with a strong sense of product ownership and commitment to build 

scalable, extensible and robust software and reports.

• Delivering outcomes that are clearly defined, using discretion over how to achieve them. 

• Making suggestions for improvements to the work of the team, based on previous 

experience and knowledge of similar situations. 

• Involved in the development of complete solutions, from initiation to handover, participating 

in a cross-functional team across requirements gathering, data analysis, process mapping, 

user-story authoring, and user acceptance testing. 

• Writing clear, testable acceptance criteria for every user story - using Given/When/Then or 

equivalent structured formats - and owning them as the definition of 'done' that the 

development team builds against and the client signs off on.

• Building and maintaining strong relationships with key stakeholders/clients

Requirements:

• Proven experience in a business analyst or product analyst role delivering bespoke software 

solutions

• Demonstrable track record of writing high-quality acceptance criteria - specific, testable, and 

traceable back to business intent - using Given/When/Then or equivalent. Able to show 

examples of stories where their criteria caught gaps before development started.

• Experience of quickly building trusted stakeholder relationships at all levels of the business

• Experience of working with both waterfall, agile and hybrid methodologies

• Experience of technical writing and presentation skills using tools such as: PowerPoint, Word, 

Visio

• Strong understanding and applied knowledge of User Experience and Customer Journey 

concepts.

• Confident working with ambiguity

• Ability to work independently and be self-motivated.

• Experience in conceptual modelling; ability to see the big picture and envision possible 

solutions.

• Outstanding verbal and non-verbal communication skills

• Ability to facilitate a team to consensus on scope and requirement decisions.

• Strong grasp of definition-of-done and requirements traceability - able to demonstrate how 

each delivered feature maps back to a documented business need and its acceptance 

criteria.

• Collaborate with cross-functional systems teams to document systems requirements and 

understand their impact on other teams.

• Work with development teams to translate business operational and functional 

requirements.

• Produce comprehensive documentation for systems and processes, using Business Process 

Modelling techniques

• Experience in UML Modelling (Use Case Diagrams, Sequence Diagrams, Activity Diagrams, 

Class Diagrams etc.)

Other:

• Bachelor’s degree: A degree in Business studies, Information Systems or a related field is 

preferred but not essential

• Exposure to Backlog user requirement management, tools such as Jira, Azure devOps, would 

be beneficial

• Business Acumen: Ability to understand and translate business requirements into data driven solutions. Strong analytical and problem-solving skills with a keen attention to detail.

• Communication Skills: Excellent verbal and written communication skills. Ability to effectively 

communicate complex data concepts to both technical and non-technical stakeholders.

• Team Player: Capable of working collaboratively in a team environment. Willingness to share 

knowledge and assist colleagues.

• Time Management: Strong organisational skills and the ability to manage multiple projects 

simultaneously. Proven ability to meet deadlines and deliver high-quality work.

Join our dynamic team and help drive data-centric decision-making across the organisation.

Associate Principal Engineer, Linux Administrator

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience:9-11 years

Job description

REQUIREMENTS:

• Strong experience in DevOps, Platform Engineering, and Infrastructure Automation
• Deep hands-on expertise in Linux Administration (RHEL, CentOS, Ubuntu) – OS hardening, security, patching, and performance management (Must Have)
• Strong experience with Cloud Technologies – Public & Private Cloud environments (Must Have)
• Hands-on experience with Infrastructure as Code (IaC) using Terraform (Must Have)
• Strong automation expertise using Ansible for configuration management and infrastructure provisioning (Must Have)
• Experience building and managing CI/CD pipelines and end-to-end deployment automation
• Strong experience with Kubernetes administration, orchestration, and cluster management (Must Have)
• Hands-on experience with Docker containerization and Helm package management
• Experience managing large-scale development and infrastructure environments
• Strong understanding of Networking concepts, connectivity, design, troubleshooting, and network automation
• Experience with Observability & Monitoring tools and best practices
• Experience with Proxmox virtualization platform administration and management
• Knowledge of Edge Technologies and distributed infrastructure environments
• Basic understanding and administration of Active Directory (AD)
• Experience implementing AI-driven Automation solutions and operational efficiencies
• Strong understanding of infrastructure security, compliance, and governance
• Experience working in Agile/Scrum environments
• Strong troubleshooting, analytical, and problem-solving skills
• Excellent communication and stakeholder management skills

RESPONSIBILITIES:

• Design, build, and manage scalable infrastructure platforms across cloud and on-premise environments
• Administer and maintain Linux servers including security hardening, patching, performance tuning, and troubleshooting
• Develop and manage Infrastructure as Code (IaC) solutions using Terraform
• Automate infrastructure provisioning, configuration management, and operational tasks using Ansible
• Design, implement, and maintain CI/CD pipelines for application and infrastructure deployments
• Deploy, manage, and optimize Kubernetes clusters and containerized workloads
• Manage Docker environments and Helm-based application deployments
• Design and implement network solutions ensuring security, reliability, and scalability
• Monitor infrastructure health, performance, and availability using observability and monitoring tools
• Manage and support Proxmox virtualization environments
• Implement AI-driven automation initiatives to improve operational efficiency and reduce manual effort
• Support edge infrastructure deployments and distributed computing environments
• Collaborate with development, security, and operations teams to deliver reliable platform services
• Troubleshoot production incidents and perform root cause analysis
• Define infrastructure standards, automation frameworks, and operational best practices
• Ensure high availability, scalability, security, and reliability of infrastructure platforms
• Mentor junior engineers and provide technical leadership on DevOps and platform engineering initiatives
• Participate in Agile ceremonies and contribute to continuous improvement initiatives
• Work closely with stakeholders to understand infrastructure requirements and deliver optimal solutions

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related fields

Remote

3 - 6 yrs

Full-time Contract Role

We are looking for a skilled Python Developer with strong experience in Django, Flask, REST APIs, and scalable backend development. The ideal candidate should have hands-on experience building enterprise applications, API-driven systems, AI integrations, automation tools, and cloud-based solutions.

The candidate should be passionate about clean architecture, problem-solving, and developing scalable web applications with modern technologies.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Python and Django/Flask.
• Build and optimize RESTful APIs for web and mobile applications.
• Work on database design, query optimization, and performance tuning.
• Integrate third-party APIs such as payment gateways, APIs.
• Develop AI/ML-based solutions including RAG applications and automation systems.
• Collaborate with frontend developers using React/Angular integration.
• Implement authentication, RBAC, and security best practices.
• Debug, troubleshoot, and optimize existing applications.
• Participate in code reviews and technical architecture discussions.
• Prepare technical documentation and deployment workflows.
• Work with asynchronous processing, queues, sockets, and real-time systems.

Required Skills

• Strong experience in Python development using Django, Flask, FastAPI, REST API development, SQLAlchemy, and scalable backend architecture.
• Experience with frontend technologies, UI integration, and responsive web development.
• Strong knowledge of MySQL, PostgreSQL, SQLite, database design, query optimization, and performance tuning.
• Experience working with LangChain, RAG applications, LLM integrations, Scikit-learn, and machine learning algorithms.
• Experience in backend integrations, automation, real-time systems, and web scraping.
• Knowledge of Azure cloud services, SSO implementation, cloud deployment, and scalable application architecture.

Preferred Qualifications

• Experience working on SaaS products and enterprise platforms.
• Experience with cloud deployment and scalable architecture.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience handling production-level applications.
• Strong analytical and debugging skills.

Soft Skills

• Strong communication skills.
• Team collaboration and leadership abilities.
• Problem-solving mindset.
• Client handling experience.
• Ability to work independently.

Education

Bachelor’s Degree in Computer Applications, Computer Science, IT, or related field.

Ideal Candidate Profile

• We are looking for a strong Python developer with full stack development experience and strong Django backend expertise in scalable API-driven architecture.
•  The ideal candidate should be passionate about building scalable and high-performance applications, possess strong analytical and debugging skills, and be capable of working in a fast-paced and dynamic environment.

Job Summary

Contribute to the development and optimization of web applications by combining DevOps Solutions, React.js, and full stack Java skills. The role involves designing, implementing, and maintaining software solutions that meet the business requirements efficiently. (1.) Key Responsibilities

1. Collaborate with cross functional teams to define, design, and ship new features.

2. Build and optimize web applications using react.js and full stack java technologies.

3. Implement devops practices to automate processes and improve overall software development efficiency.

4. Troubleshoot and debug applications to ensure optimal performance and reliability.

5. Conduct code reviews and provide constructive feedback to team members.

6. Stay updated on industry trends and new technologies to continuously improve development processes.

Skill Requirements

1. Proficient in devops solutions to streamline software development and deployment processes.

2. Strong experience in react.js for building interactive user interfaces.

3. Expertise in full stack java development, including backend and frontend technologies.

4. Solid understanding of database management and integration.

5. Ability to work in an agile environment and deliver high-quality code within agreed timelines.

6. Excellent problem-solving skills and attention to detail.

7. Good communication skills to collaborate effectively with team members and stakeholders.

Certifications: Relevant certifications in DevOps, React.js, or Java technologies are a plus.

Skill (Primary):

Modern Application Development-Full Stack Development-Java Full Stack

Removal Date

29-May-2027

Strong Principal DevOps Engineer Profile

Mandatory (Experience 1): Must have 10+ years in DevOps / SRE / Infrastructure roles with hands-on experience (clear scale signals like traffic, uptime, latency, infra size should be mentioned) in B2B SAAS companies

Mandatory (Experience 2): Must have worked in Principal / Staff / Lead DevOps / SRE / Platform Engineer role and demonstrated org-level ownership - setting infra roadmap, defining DevOps charter, or structuring the platform function not just domain-level technical ownership

Mandatory (Experience 3): Must show evidence of strategic authorship, defined multi-year infra/platform strategy, drove company-wide architectural shifts as an initiator (not implementer), or directly interfaced with VP Eng / CTO / product leadership on infra direction

Mandatory (Experience 4): Must have B2B SaaS company experience with multi-tenant architecture OR multiple production stacks (multi-env / multi-client systems)

Mandatory (Tech Skills 1 - Cloud & Infra): AWS (VPC, EKS, EC2, RDS, networking), Kubernetes (EKS) at scale, Designing high availability, multi-region systems

Mandatory (Tech Skills 2 - Automation & IaC): Terraform (must-have), Helm / GitOps, Strong scripting (Python / Go / Bash)

Mandatory (Tech Skills 4 - Reliability & Observability): SRE principles (SLOs, SLIs, error budgets), Monitoring tools (Prometheus, Grafana, Datadog), Alerting, on-call, incident management

Mandatory (Leadership): Must demonstrate leadership experience in an individual contributor capacity having mentored senior engineers, driven cross-team technical alignment, or anchored org-wide initiatives without having moved into a people management or engineering manager role

Mandatory (Company): Strong B2B SaaS product companies only

Role & Responsibilities

1. Ansible Automation Design and maintain enterprise-grade playbooks, roles, and collections. Automate OS patching, configuration drift correction, security hardening, and compliance enforcement across AWS, Azure, VMware, and REST-integrated environments. Combine Ansible with Terraform for seamless post-provisioning configuration.

2. AWS Cloud Automation Architect serverless and event-driven automation using Lambda, Step Functions, EventBridge, SNS/SQS, S3 triggers, and Systems Manager. Build scalable, cross-account automation across AWS Organizations with proper IAM boundaries. Align all implementations with CIS, NIST, and AWS Well-Architected standards.

3. Kubernetes & Helm Develop and own custom Helm charts for multi-environment Kubernetes deployments. Manage the full Helm lifecycle including upgrades, rollbacks, and canary releases. Drive GitOps adoption using ArgoCD or Flux. Automate namespace management, RBAC, secrets, and network policies.

4. Infrastructure as Code & CI/CD Build reusable, versioned Terraform modules covering AWS networking, IAM, EKS, ECS, RDS, and security controls. Implement CI/CD pipelines for IaC using GitHub Actions or Azure DevOps — with automated testing, linting, drift detection, and policy enforcement baked in.

5. Security & Compliance Automation Automate CIS benchmark enforcement, vulnerability remediation, and infrastructure hardening. Integrate with CyberArk, AWS Secrets Manager, and SSM Parameter Store. Implement policy-as-code using OPA, Gatekeeper, or Conftest. Automate certificate lifecycle management end to end.

6. Observability & Auto-Remediation Connect automation workflows to New Relic and LogicMonitor for telemetry-driven triggers. Build self-healing routines that detect, diagnose, and resolve incidents automatically. Convert operational runbooks into fully automated diagnostic workflows to cut MTTR significantly.

7. ITSM Integration Integrate automation into SymphonyAI-driven ticketing, approval flows, CMDB updates, and change management processes. Build operational runbooks that map directly to ITSM workflows.

Ideal Candidate

• Strong Cloud Automation Architect Profile
• Mandatory (Experience 1) – Must have 8+ years of total experience with the last 6–7 years focused continuously on hands-on infrastructure automation in enterprise environments
• Mandatory (Experience 2) – Must have expert-level Ansible engineering, including advanced Jinja2 templating, dynamic inventory, custom module development, and designing enterprise-grade playbooks, roles, and collections across AWS, Azure, VMware, and REST-integrated environments
• Mandatory (Experience 3) – Must have strong Kubernetes and Helm expertise, including custom Helm chart authoring, multi-environment lifecycle management (upgrades, rollbacks, canary releases), namespace management, RBAC, secrets, and network policies — with GitOps adoption via ArgoCD or Flux
• Mandatory (Experience 4) – Must have deep Terraform knowledge, including reusable module design covering AWS networking, IAM, EKS, ECS, RDS, and security controls — with CI/CD integration (GitHub Actions or Azure DevOps) including automated testing, linting, drift detection, and policy enforcement
• Mandatory (Experience 5) – Must have solid AWS architecture knowledge, including serverless and event-driven automation (Lambda, Step Functions, Event Bridge, SNS/SQS, S3 triggers, Systems Manager), IAM design, cross-account automation across AWS Organizations, and multi-account networking aligned with CIS, NIST, and AWS Well-Architected standards
• Mandatory (Experience 6) – Must have experience with security and compliance automation including CIS benchmark enforcement, vulnerability remediation, infrastructure hardening, certificate lifecycle management, and integration with CyberArk, AWS Secrets Manager, and SSM Parameter Store
• Mandatory (Skill) – Must have proficiency in Python, Bash, or PowerShell for automation scripting, with proven ability to build production-grade automation frameworks end-to-end
• Preferred (Skill 1) – Experience with policy-as-code (OPA, Gatekeeper, Conftest) and IaC testing tools (Molecule, Terratest, Checkov, tfsec)
• Preferred (Skill 2) – Experience with multi-account AWS automation, service mesh (Istio/Linkerd), and ITSM integration (SymphonyAI or equivalent — ticketing, approval flows, CMDB updates, change management)
• Preferred (Skill 3) – Experience with AWS cost optimization automation and converting operational runbooks into self-healing diagnostic workflows

We are looking for a highly skilled and experienced Senior AIOps / MLOps Engineer with strong expertise in Azure Cloud, automation, platform engineering, CI/CD, observability, and enterprise-scale cloud operations.

The ideal candidate should have hands-on experience in designing, implementing, and managing modern cloud-native platforms with focus on AI/ML operationalization, DevOps automation, monitoring, reliability, and infrastructure modernization.

Required Experience

• 6 – 10 Years of overall IT experience
• Strong experience in AIOps / MLOps / DevOps engineering
• Hands-on enterprise experience in Azure Cloud platform engineering

Key Responsibilities

AIOps / MLOps

• Design and implement scalable enterprise-grade AIOps and MLOps platforms across cloud environments.
• Ensure AI platform reliability, governance, security, and model performance optimization.
• Implement LLM/AI model versioning, experiment tracking, drift detection, observability, and operational health monitoring frameworks.
• Collaborate with Data Science, DevOps, Cloud, and Application teams to accelerate AI/ML adoption and platform modernization.
• Develop automation frameworks for AI/ML pipelines, infrastructure provisioning, and operational workflows.
• Lead continuous improvement, automation, and standardization efforts across AI/ML operational ecosystems
• Mentor engineering teams and promote AIOps/MLOps best practices, innovation, and engineering excellence
• Strong Knowledge on embeddings, tokenization, vector databases, and AI/ML model training concepts

Preferred Skills

• Python, MLflow, Model Registry, Experiment Tracking
• Azure DevOps & Azure Cloud
• Azure Machine Learning
• LLMOps / Generative AI operationalization
• AI model deployment and lifecycle management
• AI Gateway and Model Serving architectures
• Azure OpenAI & Azure AI Foundry
• MCP Server implementation and configuration  
• CI/CD Automation & AKS

Soft Skills

• Strong communication and stakeholder management
• Good troubleshooting and problem-solving skills
• Ability to work independently and drive ownership
• Strong collaboration and documentation skills

About the Role 

We are looking for a Senior DevOps Engineer to lead the design, automation, and scaling of our hybrid cloud infrastructure spanning public cloud and private/on-premises environments. You will partner closely with software engineering, security, and product teams to build reliable, secure, and high-performance systems that support rapid product delivery. This is a hands-on role with significant influence over our infrastructure strategy, deployment workflows, and engineering culture. 

Key Responsibilities 

• Architect, deploy, and maintain scalable, highly available infrastructure across both public cloud (AWS, Azure, GCP) and private cloud platforms (OpenStack, VMware vSphere/Tanzu, Nutanix, or similar). 
• Operate and maintain on-premises infrastructure: hypervisors, compute, storage (Ceph, NetApp, SAN/NAS), networking (SDN, VLANs, BGP, MPLS), and hardware capacity planning, alongside their public cloud equivalents. 
• Design and own CI/CD pipelines that deploy seamlessly across public and private environments. 
• Implement and manage Infrastructure as Code (Terraform, Ansible, Pulumi) with strong version control and review practices, using providers for both public and private cloud platforms. 
• Manage container orchestration (Kubernetes, ECS, OpenShift, Rancher) across managed cloud services and self-managed/bare-metal clusters, including upgrades, autoscaling, and workload reliability. 
• Build observability into all systems through logging, metrics, tracing, and alerting (Prometheus, Grafana, Datadog, ELK, or similar) with unified visibility across hybrid environments. 
• Champion security best practices: secrets management, IAM hardening, network segmentation, vulnerability scanning, and compliance (SOC 2, ISO 27001, HIPAA, or data-sovereignty requirements). 
• Lead incident response, root-cause analysis, and post-mortems; drive long-term reliability improvements and SLO/SLA adherence. 
• Optimize cost, capacity, and resource utilization across public cloud spend and on-premises hardware without compromising performance or availability. 
• Partner with data center operations and network providers on hardware provisioning, firmware management, MPLS circuit management, and lifecycle planning. 
• Mentor junior DevOps and software engineers; promote DevOps culture, automation-first thinking, and shared ownership of production. 
• Evaluate and introduce new tools, platforms, and processes that improve developer productivity and system reliability. 

Required Qualifications 

• 5+ years of experience in DevOps, SRE, or Platform Engineering roles, with at least 2 years at a senior level. 
• Deep expertise with at least one major public cloud provider (AWS, Azure, or GCP) in production. 
• Hands-on experience operating private cloud or virtualization platforms (OpenStack, VMware, Nutanix, or equivalent) in production. 
• Strong experience with virtualization, storage systems, and enterprise networking in on-premises environments. 
• Strong hands-on experience with Kubernetes in production, including both managed cloud and self-managed/bare-metal clusters. 
• Proficiency in Infrastructure as Code (Terraform and Ansible strongly preferred). 
• Solid scripting and programming skills in Python, Go, Bash, or similar. 
• Experience designing and operating CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, CircleCI, or ArgoCD. 
• Strong Linux systems administration and networking fundamentals (TCP/IP, DNS, load balancing, VPNs, firewalls, routing, MPLS). 
• Experience with monitoring and observability stacks (Prometheus, Grafana, Datadog, New Relic, ELK, or OpenTelemetry). 
• Proven track record of leading incident response and improving system reliability. 
• Excellent communication skills and the ability to collaborate across engineering, security, infrastructure, and product teams. 

Preferred Qualifications 

• Experience designing hybrid and multi-cloud architectures, including secure connectivity (Direct Connect, ExpressRoute, MPLS, VPN, SD-WAN) between public and private environments. 
• Familiarity with service meshes (Istio, Linkerd), API gateways, and GitOps workflows (ArgoCD, Flux). 
• Background in security-focused or regulated environments and exposure to compliance frameworks. 
• Experience with database administration (PostgreSQL, MySQL, Redis, MongoDB) in cloud-managed and self-hosted setups. 
• Contributions to open-source DevOps or cloud infrastructure tooling. 
• Relevant certifications (AWS Solutions Architect / DevOps Engineer, Azure Administrator, CKA, CKAD, RHCE, VMware VCP, OpenStack Certified Administrator, HashiCorp Terraform Associate). 

We are seeking a highly skilled and motivated Business Analyst to join our team delivering bespoke 

software solutions to our clients. In this role, you will translate business needs into clearly written 

user stories with testable acceptance criteria that act as the contract between client intent and what 

the development team builds. You will be the bridge between Clients, Developers and the Project 

Manager — and the person accountable for ensuring that what gets delivered is what the business 

actually asked for.

Experience of documenting key projects artefacts and have a good understanding of SDLC. Basic 

understanding of the Microsoft power platform tools.

Responsibilities:

• Being part of a team with a strong sense of product ownership and commitment to build 

scalable, extensible and robust software and reports.

• Delivering outcomes that are clearly defined, using discretion over how to achieve them. 

• Making suggestions for improvements to the work of the team, based on previous 

experience and knowledge of similar situations. 

• Involved in the development of complete solutions, from initiation to handover, participating 

in a cross-functional team across requirements gathering, data analysis, process mapping, 

user-story authoring, and user acceptance testing. 

• Writing clear, testable acceptance criteria for every user story - using Given/When/Then or 

equivalent structured formats - and owning them as the definition of 'done' that the 

development team builds against and the client signs off on.

• Building and maintaining strong relationships with key stakeholders/clients

Requirements:

• Proven experience in a business analyst or product analyst role delivering bespoke software 

solutions

• Demonstrable track record of writing high-quality acceptance criteria - specific, testable, and 

traceable back to business intent - using Given/When/Then or equivalent. Able to show 

examples of stories where their criteria caught gaps before development started.

• Experience of quickly building trusted stakeholder relationships at all levels of the business

• Experience of working with both waterfall, agile and hybrid methodologies

• Experience of technical writing and presentation skills using tools such as: PowerPoint, Word, 

Visio

• Strong understanding and applied knowledge of User Experience and Customer Journey 

concepts.

• Confident working with ambiguity

• Ability to work independently and be self-motivated.

• Experience in conceptual modelling; ability to see the big picture and envision possible 

solutions.

• Outstanding verbal and non-verbal communication skills

• Ability to facilitate a team to consensus on scope and requirement decisions.

• Strong grasp of definition-of-done and requirements traceability - able to demonstrate how 

each delivered feature maps back to a documented business need and its acceptance 

criteria.

• Collaborate with cross-functional systems teams to document systems requirements and 

understand their impact on other teams.

• Work with development teams to translate business operational and functional 

requirements.

• Produce comprehensive documentation for systems and processes, using Business Process 

Modelling techniques

• Experience in UML Modelling (Use Case Diagrams, Sequence Diagrams, Activity Diagrams, 

Class Diagrams etc.)

Other:

• Bachelor’s degree: A degree in Business studies, Information Systems or a related field is 

preferred but not essential

• Exposure to Backlog user requirement management, tools such as Jira, Azure devOps, would 

be beneficial

• Business Acumen: Ability to understand and translate business requirements into data driven solutions. Strong analytical and problem-solving skills with a keen attention to detail.

• Communication Skills: Excellent verbal and written communication skills. Ability to effectively 

communicate complex data concepts to both technical and non-technical stakeholders.

• Team Player: Capable of working collaboratively in a team environment. Willingness to share 

knowledge and assist colleagues.

• Time Management: Strong organisational skills and the ability to manage multiple projects 

simultaneously. Proven ability to meet deadlines and deliver high-quality work.

Join our dynamic team and help drive data-centric decision-making across the organisation.

Role Overview

We’re hiring a Senior Backend Engineer who can build high-performance backend systems using Node.js. You’ll work on complex engineering problems, optimize for scale, and own features end-to-end.

Key Responsibilities

● Develop backend services, APIs, and microservices using Node.js frameworks (Express, Nest.js).

● Own modules end-to-end: design → implementation → testing → deployment.

● Write high-quality, testable, maintainable code.

● Optimize performance, scalability, and reliability across systems.

● Troubleshoot production issues, perform RCA, and improve stability.

● Work with databases (SQL & NoSQL), caching, and async processing.

● Collaborate with DevOps for CI/CD, deployments, and automation.

● Contribute to improving engineering standards, documentation, and processes

What we’re looking for:

● 4 to 7 years of hands-on backend development experience.

● Strong in Node.js, async patterns, TypeScript (preferred), and REST APIs.

● Solid understanding of: Data modeling Queues & background jobs Caching (Redis) API optimization

● Experience with relational DBs (PostgreSQL/MySQL) and NoSQL (DynamoDB/MongoDB/ Redis).

● Experience with messaging/queues: Kafka, RabbitMQ, SQS, or equivalent.

● Familiarity with Docker, Git, and CI/CD pipelines.

● Exposure to AWS or cloud infrastructure.

● Strong debugging and performance tuning skills.

● Ability to work in a fast-paced, startup-like environment.

Here are answers to some questions you may have

Where is your office?

Chennai (Velachery)

Work Model

Work from Office – because great stories are built in person!

Do you have an online presence?

https://amura.ai (we are @AmuraHealth on all social media)

For better insights:

https://drive.google.com/file/d/11UHgXqYc7XSJ3IAdFyEm-EurgOzqsmzA/view?usp=sharing

Lead Cloud Reliability Engineer

Job Responsibilities

● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.

Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

• Strong hands-on experience in Microsoft Azure Cloud.
• Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
• Basic understanding of Azure AI Foundry and AI-related Azure service setup.
• Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
• Strong knowledge of Terraform, especially:
• Terraform state
• plan / apply
• troubleshooting failures
• migration risks
• Terraform Enterprise concepts
• Strong Python coding capability, not just basic scripting.
• Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
• Good understanding of CI/CD pipelines.
• Ability to troubleshoot pipeline failures.
• Comfortable with YAML and JSON.
• Ability to troubleshoot Azure infrastructure/platform issues.
• Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
• Basic awareness of agentic AI / LLM concepts.
• Awareness of security and cost best practices.

Good to Have Skills

• Hands-on experience with Harness.
• Hands-on experience with Terraform Enterprise.
• Exposure to LangGraph / LangChain.
• Exposure to agentic AI workflows or skill creation.
• Exposure to Claude or enterprise LLM integrations.
• Knowledge of Azure ML Workspace, model registry, and managed endpoints.
• MLOps / LLMOps knowledge.
• FinOps / Azure cost optimization experience.
• Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.

Screening Priority:

Azure Cloud + Terraform + Python Coding + CI/CD Troubleshooting + YAML/JSON + Basic Agentic AI Awareness

About the Role

We are hiring for our client for the role of Java Developer. The ideal candidate should have strong expertise in backend development, Java-based microservices architecture, and REST API development. This role involves designing, developing, debugging, and optimizing enterprise-grade applications in a collaborative environment.

Key Details

• Location: PAN India (Bangalore Preferred)
• Work Mode: Hybrid
• Experience: 8–12 years
• Compensation: ₹15 LPA – ₹25 LPA
• Open Positions: 10
• Notice Period: Immediate to 15 days preferred

Key Responsibilities

• Develop backend services and microservices using Java
• Design and build REST APIs for enterprise applications
• Participate in application architecture, design, and development activities
• Debug, test, and optimize application performance
• Support deployment, maintenance, and production issue resolution
• Collaborate with cross-functional teams to deliver scalable solutions
• Ensure code quality, best practices, and performance optimization

Required Skills

• Strong hands-on experience in Java development
• Experience with backend services and microservices architecture
• Expertise in REST API development
• Strong debugging and performance optimization skills
• Good understanding of application deployment and maintenance
• Strong problem-solving and collaboration abilities

Eligibility Criteria

• Candidates available within 0–15 days preferred
• Strong alignment with the requirement

Mandatory (Experience): Must have 6+ years of hands-on experience in DevOps or Cloud Engineering with atleast 3+ years in a product-based or high-scaling startup environment

Mandatory (Scale & Ownership): Must have managed infrastructure at high scale or in fast-moving startup environments with full end-to-end ownership of one or more products

Mandatory (AWS & Cloud): Must have strong hands-on AWS experience as the primary cloud platform with exposure to multi-cloud environments

Mandatory (Kubernetes): Must have deep working knowledge of Kubernetes covering cluster management, deployments, and Helm charts for microservices

Mandatory (IaC): Must have strong hands-on Terraform experience as the primary IaC tool with additional exposure to CloudFormation

Mandatory (CI/CD): Must have experience building and managing CI/CD pipelines using GitHub Actions, GitLab CI, or equivalent tools

Mandatory (Monitoring & Observability): Must have working experience with Prometheus, Grafana, ELK stack, or comparable monitoring and logging tooling

Mandatory (Networking & Security): Must have solid understanding of cloud networking fundamentals and cloud security best practices covering IAM, secrets management, and access controls

Mandatory (Scripting): Must be proficient in Bash and/or Python for automation, tooling, and infrastructure management

Mandatory (Production & Incident Management): Must have direct experience owning production environments including live troubleshooting, incident response, and minimal-downtime resolution

Mandatory (Company): Product companies/high scaling startups (B2B SAAS preferred)

Job Title : Senior Node.js Developer (SDE 2)

Experience : 5+ Years

Location : Bengaluru (Whitefield)

Work Mode : Hybrid (3 Days WFO)

Openings : 2

Notice Period : Immediate–20 Days Preferred

Role Overview :

We are looking for an experienced Senior Node.js Developer (SDE 2) professional with strong expertise in building scalable backend applications, microservices, and distributed systems in Agile environments.

Mandatory Keywords :

Node.js, JavaScript, TypeScript, GraphQL, Microservices, Cloud, REST APIs, Docker, Kubernetes, Redis, System Design.

Key Responsibilities :

• Design, develop, and deploy scalable backend systems using Node.js & TypeScript.

• Build REST APIs and GraphQL services.

• Develop secure, reusable, and high-performance applications.

• Work on microservices, cloud platforms, and production support.

• Follow best practices including TDD, testing, and DevOps processes.

• Mentor team members and contribute to technical excellence.

Mandatory Skills :

• 5+ years of software development experience.

• Strong hands-on experience in Node.js, JavaScript, TypeScript.

• Experience with Express.js/Koa/Sails.js.

• GraphQL, REST APIs, Microservices

• AWS/Azure/GCP Cloud

• Docker, Kubernetes, Redis

• Strong understanding of distributed systems, Git, and DevOps.

Good to Have :

Kafka, RabbitMQ, Apollo Federation, New Relic, Datadog, Splunk, React.js/Next.js, Jest/Mocha/Cucumber

Interview Process :

• L1 – Technical
• L2 – Coding
• L3 – System Design (HLD + LLD)

Role & Responsibilities

• You take end-to-end ownership of infrastructure, design, scale, and operate it. This goes beyond execution. Here's what that looks like day to day:
• Own the design, architecture, and reliability of Locus's cloud infrastructure across AWS, Azure, GCP, and Aliyun, supporting multi-region, global deployments.
• Lead the evolution of our CI/CD ecosystem, optimize and refactor our Jenkins-as-Code setup for scalability, performance, and developer efficiency.
• Drive the Infrastructure as Code (IaC) journey end-to-end, migrate existing cloud resources, alarms, and configurations fully into code with strong versioning, review, and rollback practices.
• Partner with engineering teams to identify and resolve performance, scalability, and reliability bottlenecks, deep dives into memory, CPU, networking, and storage constraints.
• Define and implement monitoring, alerting, and incident response best practices, improve MTTR, system observability, and operational readiness.
• Lead initiatives around cost optimization, security hardening, and capacity planning, keep infrastructure efficient and compliant as the platform scales.
• Act as a technical mentor for junior DevOps engineers and raise the overall DevOps maturity across teams.

Ideal Candidate

• Strong Senior DevOps Engineer Profile
• Mandatory (Experience 1): Must have 5+ years in DevOps / SRE / Infrastructure roles with hands-on experience (clear scale signals like traffic, uptime, latency, infra size should be mentioned)
• Mandatory (Experience 2): Must have B2B SaaS company experience with multi-tenant architecture OR multiple production stacks (multi-env / multi-client systems)
• Mandatory (Tech Skills 1 - Cloud & Infra): AWS (VPC, EKS, EC2, RDS, networking), Kubernetes (EKS) at scale, Designing high availability, multi-region systems
• Mandatory (Tech Skills 2 - Automation & IaC): Terraform (must-have), Helm / GitOps, Strong scripting (Python / Go / Bash)
• Mandatory (Tech Skills 3 - CI/CD & Release): Scalable CI/CD pipelines (GitHub Actions / Jenkins), Zero/low downtime deployments
• Mandatory (Tech Skills 4 - Reliability & Observability): SRE principles (SLOs, SLIs, error budgets), Monitoring tools (Prometheus, Grafana, Datadog), Alerting, on-call, incident management
• Mandatory (Education): BTech in Computer Science or related fields
• Mandatory (Company): Strong B2B SaaS product companies only (good scaled)