1,246 AWS (Amazon Web Services) Jobs in Bangalore (Bengaluru) | AWS (Amazon Web Services) Job openings in Bangalore (Bengaluru)

Job Title: Cloud DevOps Engineer

Mandatory Skills:

• Hands-on experience in any 2 cloud platforms – AWS, Azure, or GCP.
• Strong experience in Terraform (IaC).
• Cloud infrastructure provisioning, configuration, and management.
• Knowledge of cloud automation and deployment.

Experience: As per requirement

Availability: Immediate Joiners Only

We are looking for an experienced AWS DevOps Engineer with 5–7 years of experience in cloud infrastructure management, automation, and deployment engineering. The candidate should have strong hands-on experience with AWS services, Infrastructure as Code (IaC), CI/CD pipeline implementation, Jenkins, and Ansible.

• Design, implement, and maintain AWS cloud infrastructure and services.
• Build, manage, and optimize CI/CD pipelines using Jenkins.
• Automate infrastructure provisioning and management using Terraform or AWS CloudFormation.
• Develop and maintain Ansible playbooks for configuration management and automation.
• Manage AWS services such as EC2, S3, VPC, IAM, EBS, ELB, Auto Scaling, Route 53, and CloudWatch.
• Implement cloud infrastructure security, access management, monitoring, and backup strategies.
• Automate deployment processes and improve application release efficiency.
• Monitor infrastructure performance and troubleshoot cloud-related issues.
• Manage networking components, including VPC, subnets, routing, security groups, NACLs, DNS, VPN, and load balancers.
• Manage VMware virtualized environments and perform server administration activities.
• Perform Linux and Windows server administration, patching, upgrades, and troubleshooting.
• Collaborate with development and infrastructure teams to improve system reliability and operational efficiency.

Job Summary :

We are looking for a proactive and skilled DevOps Engineer to join our team and play a key role in building, managing, and scaling infrastructure for high-performance systems. The ideal candidate will have hands-on experience with Kubernetes, Docker, Python scripting, cloud platforms, and DevOps practices around CI/CD, monitoring, and incident response.

Key Responsibilities :

- Design, build, and maintain scalable, reliable, and secure infrastructure on cloud platforms such as AWS.

- Implement Infrastructure as Code (IaC) using tools like Terraform, Cloud Formation, or similar.

- Manage Kubernetes clusters, configure namespaces, services, deployments, and auto scaling. CI/CD & Release Management

- Build and optimize CI/CD pipelines for automated testing, building, and deployment of services.

- Collaborate with developers to ensure smooth and frequent deployments to production.

- Manage versioning and rollback strategies for critical deployments.

- Containerization & Orchestration using Kubernetes.

- Containerize applications using Docker, and manage them using Kubernetes.

- Write automation scripts using Python or Shell for infrastructure tasks, monitoring, and deployment flows.

- Develop utilities and tools to enhance operational efficiency and reliability.

- Monitoring & Incident Management

- Analyze system performance and implement infrastructure scaling strategies based on load and usage trends.

- Optimize application and system performance through proactive monitoring and configuration tuning.

Desired Skills and Experience :

- Experience Required - 6+ yrs.

- Hands-on experience on cloud services like AWS, EKS etc.

- Ability to design a good cloud solution.

- Strong Linux troubleshooting, Shell Scripting, Kubernetes, Docker, Ansible, Jenkins Skills.

- Design and implement the CI/CD pipeline following the best industry practices using open-source tools.

- Use knowledge and research to constantly modernize our applications and infrastructure stacks.

- Be a team player and strong problem-solver to work with a diverse team.

- Having good communication skills.

🚨 Hiring: Site Reliability Engineer (SRE) 🚨

We are looking for experienced professionals with strong expertise in Kubernetes, AWS, programming, and application monitoring.

🔹 Must-Have Skills:

• Kubernetes
• AWS
• Java or Python (any one programming language)
• Splunk
• Dynatrace or any application monitoring tool

🔹 Added Advantage:

• Knowledge of SRE concepts
• Deployment strategies
• Building and configuring alerts
• Creating monitoring dashboards using Grafana / Dynatrace / Splunk
• Build and deployment concepts

📩 Interested candidates: Share your updated resume.

Email: pavithra.e @vysystems .com

Contact: 8 9 2 5 8 0 2 4 5 7

#Hiring #SRE #SiteReliabilityEngineer #Kubernetes #AWS #Java #Python #Splunk #Dynatrace #Grafana #ITJobs

You will lead Application Security and VAPT initiatives and own the full security testing lifecycle. You’ll also help the company’s applications meet the strict security standards required for defence industry certifications.

What You’ll Do

• Run end-to-end VAPT on web apps, APIs, and cloud environments, finding logic flaws, access control issues, and OWASP Top 10 vulnerabilities
• Set up and manage Semgrep in the CI/CD pipeline for static analysis, taint tracking, and secure code reviews
• Run automated and manual DAST scans with OWASP ZAP to simulate real-world attacks
• Validate security controls against defence and government compliance frameworks, and prepare technical evidence and PoCs for external audits
• Work with engineering teams to triage findings, guide fixes, and re-test before production releases

Role Overview

We are looking for an experienced Application Support Engineer with strong expertise in production support, Linux/Unix troubleshooting, Oracle database support, and monitoring tools. The candidate should have experience managing critical production environments, resolving technical issues, and maintaining application stability and availability.

Key Responsibilities

• Provide end-to-end production support for business-critical applications.
• Troubleshoot application, server, and database-related issues in Linux/Unix environments.
• Perform Oracle SQL queries, database troubleshooting, and performance analysis.
• Manage incidents, service requests, and change management processes.
• Conduct RCA for recurring and critical production issues.
• Monitor application health and performance using Splunk, Grafana, and AppDynamics.
• Support applications hosted on cloud and container platforms such as OCP, AWS, Azure, and GCP.
• Collaborate with infrastructure, database, and development teams for issue resolution.
• Maintain operational documentation and ensure adherence to SLA commitments.

Technical Skills

• Application Production Support
• Linux / Unix Administration and Troubleshooting
• Oracle SQL / Database Support
• Incident, Problem & Change Management
• Root Cause Analysis (RCA)
• Splunk / Grafana / AppDynamics
• Cloud Platforms – OCP, AWS, Azure, GCP

Job Summary:

As a Software Development Engineer II in VoD Video Engineering team, you will design and build the core backend systems that power our Video-on-Demand platform — spanning content ingest, transcoding, adaptive bitrate packaging, and delivery at scale. You will own complex projects end-to-end, make meaningful architectural contributions, and play a hands-on role in raising the quality and reliability of our video processing infrastructure. This role is ideal for engineers who are passionate about distributed systems, media technology, and delivering exceptional streaming experiences to hundreds of millions of viewers.

About the Team:

VoD Video Engineering team is the backbone of our streaming platform — responsible for the entire lifecycle of on-demand video content, from ingest and transcoding through packaging, storage, and delivery. We own mission-critical systems that process thousands of hours of video daily, serving a global audience with reliability, low latency, and the highest quality of experience. Our team operates at the forefront of media technology, collaborating closely with CDN, playback, and content operations teams to continuously raise the bar on performance and scalability. If you're passionate about large-scale distributed systems and the technology behind modern video streaming, this is the team to be on.

Key responsibilities

• Design and build scalable, fault-tolerant backend services for video ingest, transcoding job orchestration, ABR packaging, and content delivery workflows.
• Own end-to-end delivery of complex VoD backend features — from technical design and implementation through deployment, monitoring, and operational handoff.
• Write high-quality, well-tested, and maintainable code; drive code review culture and champion engineering best practices within the team.
• Contribute to architectural decisions for the VoD platform, evaluating trade-offs across throughput, latency, cost, and reliability.
• Integrate VoD pipeline components with internal platform services including CMS, CDN origin, DRM/entitlement systems, and metadata APIs.
• Take ownership of production reliability: participate in on-call rotations, lead incident response, perform root cause analysis, and drive preventive improvements.
• Optimize video processing workflows for cost efficiency, throughput, and time-to-publish — including transcoding profile tuning and pipeline parallelism.
• Collaborate closely with Product Managers, content operations, and cross-functional engineering teams to translate requirements into robust technical solutions.
• Mentor junior engineers through code reviews, technical design discussions, and knowledge-sharing sessions; help grow the overall capability of the team.

Skills and attributes for success:

• 3+ years of professional backend software engineering experience, with a strong track record building and operating distributed systems in production.
• Proficiency in Go, Python, or Java with solid foundations in system design.
• Hands-on experience with cloud platforms (AWS preferred) — including compute, object storage (S3), managed queues (SQS/SNS), and serverless or containerized workloads.
• Solid understanding of distributed systems design: event-driven architectures, message queues (Kafka), workflow orchestration, and idempotency patterns.
• Experience with storage systems, caching strategies (Redis, Memcached), and database query performance tuning.
• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code practices.
• Comfort with observability tooling — logging, metrics, and tracing — and a habit of building production-ready services from day one.
• Strong communication skills — able to clearly articulate technical approaches and trade-offs to peers, leads, and non-technical stakeholders.
• Collaborative team player who takes pride in lifting up those around them through mentorship and knowledge sharing.

Preferred education and experience:

• Bachelors/Master’s in computer science or a related field with 3+ years of experience in backend development

Job Summary:

As a Senior Software Engineer, you will lead the design and development of core systems that drive JioStar's lifecycle engagement, personalized marketing automation (Martech), and strategic partnership integrations. You'll own large-scale, high-concurrency systems end-to-end—from real-time event tracking and reward engines to partner sync pipelines—operating with autonomy and shaping the technical architecture of our ecosystem. This role is ideal for engineers who excel at solving complex distributed data problems, building scalable backend services, and mentoring others toward engineering excellence.

About the Team

Our team sits at the intersection of user retention, growth, and ecosystem monetization. We build and scale the platforms that power automated engagement campaigns, and seamless integrations with external partners and brands.

Whether we are processing high-throughput event streams for real-time personalization, orchestrating complex cross-channel martech workflows, or managing high-availability transactional data stores, our engineering focus is on resilience, speed, and clean architecture. If you are passionate about building systems that directly impact millions of users' retention and engagement journeys, we'd love to talk.

Key responsibilities

• Design and build scalable, resilient microservices that power engagement triggers, and partner integrations.
• Own end-to-end delivery of complex backend projects, from technical design to deployment and monitoring
• Write high-quality, maintainable code, and ensure rigorous testing and fault tolerance
• Drive architectural decisions and influence long-term engineering strategy for the team
• Collaborate closely with Product Managers, Data Scientists, and cross-functional teams to translate business needs into tech solutions
• Take ownership of operational excellence, including performance tuning, incident response, and root cause analysis
• Mentor junior engineers, conduct technical deep dives and code reviews, and foster a culture of knowledge sharing

Skills and attributes for success:

• Proficiency in Java, Golang, or Python
• Experience designing and building distributed systems at scale
• Strong understanding of storage systems, query performance, and caching strategies
• specifically experience with Amazon DynamoDB (single-platform design, partition keys, GSIs) and relational stores.
• experience with distributed caching strategies and tools
• Hands-on experience with cloud platforms (AWS preferred), messaging systems (Kafka), CI/CD pipelines (Github Actions and Docker)
• Proven ability to work autonomously, prioritize tasks, and manage delivery timelines in fast-paced environments
• You are passionate about growing engineers and leading by example

Preferred education and experience:

Bachelors/Master's in computer science or a related field with 4–6 years of experience in backend development.

• Primary Skillsets: Python, Generative AI, Agentic AI, LLM, experience with designing and developing production grade AI solutions, AWS/Azure/GCP, LLMOps, Data Engineering (Databricks/Snowflake), Regulated GenAI, Data and Decisions, and Agentic Systems.
• Preferred: Pharma or life sciences experience, especially in regulated (GxP) environments, experience setting up a team or practice from scratch.
• Only immediate joiners are considered.

Pncpl Software Engineer

Position Responsibilities :

• Lead the architecture and development of AI-powered, distributed systems that meet enterprise-grade performance and security standards.
• Leverage AI tools for code generation, architectural design, and documentation to accelerate delivery and improve quality.
• Design, build, and maintain services using Java following clean-code and secure design principles.
• Develop agentic AI-based tools, domain-specific copilots, and developer productivity enhancements.
• Collaborate with cross-functional teams to define modular, scalable, and compliant architecture patterns.
• Conduct technical design reviews and produce detailed documentation, including system specifications, API docs, and architecture diagrams.
• Integrate AI solutions into CI/CD pipelines, ensuring observability, automated testing, and deployment standards are met.
• Implement robust monitoring and performance engineering practices to maintain high-quality deployments.
• Continuously evaluate emerging AI technologies and integrate them into development workflows for maximum impact.
• Champion best practices in security, automation, and performance optimization across the organization.

Qualifications :

• 6+ years in software engineering with backend development in Java.
• 3+ years with AI tools for development, prototyping, or documentation tasks.
• Experience with cloud-native development and containerized deployment (Docker, Kubernetes).
• Knowledge of AI integration patterns, vector stores, prompt engineering, and RAG pipelines.
• Ability to design software architecture using sequence diagrams, ERDs, data models, and threat models.
• Comfortable with Gen AI-first environments and working with remote Agile teams.

Preferred Qualifications

• Experience building AI copilots or developer tools using OpenAI/Claude SDKs, LangChain, or similar frameworks.
• Experience working in a fast-paced, AIDLC environment, with a strong understanding of CI/CD practices.
• Familiarity with GitHub Actions, Argo Workflows, Terraform, and monitoring/observability tools.
• Containerization and Orchestration: Proficiency in Docker and Kubernetes for containerization and orchestration.
• Cloud Platforms: Experience with cloud computing platforms such as AWS, Azure, or OCI Cloud.

Role Overview

We are looking for an experienced React + Java Developer with strong expertise in frontend development using React.js and working knowledge of Java backend development. The ideal candidate should have a strong focus on React (70%) and Java (30%) with experience in developing and maintaining scalable web applications.

Key Responsibilities

• Develop responsive and user-friendly web applications using React.js.
• Build reusable UI components and manage application state.
• Integrate REST APIs with frontend applications.
• Develop and maintain backend services using Java.
• Work with Java-based business logic and backend integrations.
• Debug, troubleshoot, and optimize application performance.
• Collaborate with cross-functional teams to deliver quality solutions.
• Participate in code reviews and follow coding standards.

Mandatory Technical Skills

React.js – 70%

• Strong hands-on experience in React.js.
• JavaScript (ES6+) and HTML5, CSS3.
• React Hooks and functional components.
• State management (Redux / Context API).
• REST API integration.
• Responsive web design and UI development.

Java – 30%

• Good hands-on knowledge of Core Java.
• OOP concepts and Java Collections.
• Spring Boot / Spring Framework.
• REST API development and integration.
• Basic knowledge of backend development.

• Strong React.js development experience (70%).
• Java and Spring Boot experience (30%).
• Hands-on experience with Microservices architecture.
• Proficiency in JavaScript/TypeScript, HTML5, and CSS3.
• Experience developing and consuming REST APIs.
• Experience with JUnit and unit testing practices.
• Good understanding of relational databases and SQL.
• Cloud/SaaS exposure, preferably AWS.
• Exposure to AWS SNS, SQS, S3, RDS, and Elasticsearch.
• MongoDB experience is preferred.
• Familiarity with Git and CI/CD practices.
• Understanding of application security, performance, and scalability.

Job Overview:

We are seeking an experienced Cloud Data Engineer to the architecture, development, Data migration, ETL pipeline in cloud and optimization of a next-generation data platform. This is a development role for an individual with over 4 years of deep data engineering and data migration, data pipeline in AWS expertise, capable of driving technical direction, and delivering high-impact solutions in a fast-paced

4+ Years of hands-on, progressive experience in Cloud Data Engineering, cloud ecosystems AWS, Data Architecture

• Deep conceptual understanding of core data engineering principles, ETL/ELT patterns, and metadata management

•  Ability to translate complex business needs into actionable technical requirements.

•  Strong troubleshooting and problem-solving skills in distributed systems.

•  Agile/Scrum teamwork capabilities and version control practices

• Insurance industry experience preferred but not mandatory

• Tools:

o Cloud Environment: AWS (S3, IAM, VPC, Glue, Lambda etc.)

o Experience with dbt Core, Iceberg, AWS Glue Catalog, AWS lambda, Redshift, Athena, Splunk, AmazonQ, AWS streaming services, Git

o Strong SQL, Pyspark and Python

Job Title : Infra Delivery Lead

Experience : 10+ Years

Joining : Immediate Joiners Only

Location : Gurugram, Pune, Bengaluru, Chennai, Bhopal, Jaipur, Hyderabad & Noida

Role Overview :

We are looking for an experienced Infra Delivery Lead to manage end-to-end 24x7 infrastructure operations across multiple towers, including Hosting, Network & Connectivity, DBA, Data Tribe and Infrastructure Command Center (L1.5).

Mandatory Skills :

IT Infrastructure Operations, End-to-End Service Delivery Management, 24x7 Multi-Tower Operations, Managed Services, SLA/KPI Management, ITIL, Incident & Problem Management, Major Incident Management (MIM), AWS/Azure, Windows/Linux, Networking, DBA, ServiceNow, Team Management, Client Stakeholder Management, Commercial & Contract Management.

Key Responsibilities :

• Own end-to-end delivery of L1.5 and L2 infrastructure operations.
• Manage SLA/KPI performance, service governance, reporting and client escalations.
• Lead P1 / P2 incidents, Major Incident Management (MIM), RCA and problem management.
• Manage Hosting, Network, Database, Cloud and Data Operations teams.
• Oversee change management, patching, backups, disaster recovery and availability.
• Handle resource planning, team management, shift rosters and 24x7 support.
• Manage client relationships, invoicing, contractual obligations and service reviews.
• Drive automation, process improvements and service quality.

Required Skills & Experience :

• 10+ years of experience in IT Infrastructure Operations.
• Strong experience in Infrastructure Service Delivery / Managed Services.
• Experience managing 24x7 multi-tower infrastructure operations and large teams.
• Good understanding of AWS, Azure, Windows/Linux, Networking, Oracle and SQL Server.
• Hands-on exposure to ServiceNow, ITIL processes, SLA management and MIM.
• Experience in client management, escalations, governance and contract management.
• Excellent communication and stakeholder management skills.

Good to Have :

ITIL 4, AWS / Azure, CCNA / CCNP certifications; exposure to Datadog, PagerDuty and Terraform.

Location: Bangalore

Experience: 6+ Years

Role: Java Backend Developer

Required Skills:

Java.

PostgreSQL / Database Management.

AWS services such as:

AWS ECS

AWS Lambda

How to Apply

Interested candidates can share their updated resumes:

Email: revathi.r @vysystems. com

WhatsApp: 6 3 8 5 0 7 6 1 4 2

Job Title: Senior AI/ML Engineer

Company: Timble Technologies Pvt. Ltd

Location: Gurugram (Hybrid)

Experience: 2 TO 5 Years

About Us

Timble Glance is a high-growth AI RegTech and B2B SaaS company catering to top-tier BFSI and enterprise clients. We build cutting-edge systems powering 30+ high-scale APIs for digital identity verification, fraud detection, document intelligence, and compliance automation.

Role Overview

We are looking for a hands-on Senior AI/ML Engineer to design, develop, and productionize high-throughput AI/ML and Generative AI systems. You will own the full lifecycle—from problem formulation and data pipelines to deep learning architectures, RAG systems, LLMOps, and model governance—delivering sub-second latency and high reliability across our enterprise products.

Key Responsibilities

·       Model Architecture & Deployment: Design, train, and deploy production-scale ML/Deep Learning and GenAI systems (computer vision, document intelligence, OCR, NLP, fraud risk classification, and LLM applications).

·       GenAI & LLM Solutions: Develop robust LLM workflows including prompt engineering, fine-tuning, RAG pipelines, semantic search, vector indexing (Pinecone/Milvus/Chroma), and safety guardrails.

·       Pipelines & Engineering: Build performant feature extraction and data pipelines; write modular, vectorized, production-grade Python (NumPy, Pandas) and advanced SQL.

·       MLOps & Monitoring: Establish end-to-end MLOps/LLMOps standards—model registries, CI/CD, experiment tracking, drift detection, A/B testing, latency optimization, and cost governance.

·       Responsible AI & Security: Ensure model decisions comply with enterprise data security, privacy standards, and auditability required by the BFSI sector.

·       Collaboration & Ownership: Translate complex business requirements into technical roadmaps, conduct rigorous code reviews, and mentor junior engineers.

Required Qualifications & Skills

·       Education: B.Tech / M.Tech in Computer Science, AI/ML, Mathematics, or a related field—Tier-1 institutes (IIT, IIIT, NIT) strongly preferred.

·       Experience: 2+ years of hands-on experience developing, deploying, and maintaining ML/Deep Learning or GenAI models in production environments.

·       GenAI & NLP Stack: Hands-on experience with LLMs, embeddings, RAG architectures, and frameworks such as LangChain, LlamaIndex, or Hugging Face.

·       Deep Learning Frameworks: Strong proficiency in PyTorch or TensorFlow, with deep knowledge of transformer architectures and modern NLP/CV models.

·       Software & Data Engineering: Expert-level Python skills (pytest, Git, OOP, asynchronous programming), solid SQL proficiency, and familiarity with data workflows.

·       Deployment & Cloud: Practical exposure to cloud platforms (AWS/GCP), containerization (Docker), API frameworks (FastAPI/Flask), and basic orchestration (Kubernetes).

Preferred Qualifications

·       Prior domain experience in Fintech, RegTech, Identity Verification (KYC/AML), Fraud Intelligence, or B2B SaaS.

·       Experience optimizing models for low latency and inference cost (e.g., ONNX, TensorRT, model quantization).

·       Familiarity with workflow orchestrators such as Airflow, Prefect, or Kubeflow.

We are seeking a highly skilled Python Programmer and Insurance Analytics Lead to design, develop, automate, and operationalize predictive model development pipelines for Property & Casualty (P&C) Insurance. The role involves building reusable Python frameworks, feature engineering pipelines, MLOps solutions, automated model deployment and monitoring, and scalable analytics platforms supporting pricing, underwriting, claims, fraud detection, retention, and risk analytics.

Key Responsibilities

• Design, develop, and maintain scalable Python frameworks and automated predictive modeling pipelines for P&C insurance.
• Build robust feature engineering pipelines and implement MLOps practices for model deployment, monitoring, and lifecycle management.
• Drive insurance rating modernization by transforming legacy rating engines and integrating predictive models into pricing platforms.
• Collaborate with Data Scientists, Actuaries, Cloud Engineers, and business stakeholders to deliver scalable insurance analytics solutions.
• Lead ETL development and optimization initiatives across multiple teams, improving data integration, quality, and processing efficiency.
• Drive strategic initiatives to enhance ETL practices, establish best practices, and develop long-term technology roadmaps.
• Lead and mentor a team of 5+ professionals, ensuring effective delivery and technical excellence.
• Represent the ETL team in executive-level meetings and collaborate with cross-functional stakeholders on strategic initiatives.
• Support analytics solutions across pricing, underwriting, claims, fraud detection, customer retention, and risk management.

Required Skills & Qualifications

• 9–12 years of experience in Python development, ETL, data engineering, or data management.
• Strong hands-on expertise in Python programming, including Pandas, NumPy, object-oriented programming (OOP), classes, and coding best practices.
• Experience developing automated data pipelines, ETL frameworks, and scalable data processing solutions.
• Working knowledge of AWS cloud services, particularly Amazon S3 and data integration.
• Strong SQL skills and experience with database integrations and data processing.
• Experience in Property & Casualty (P&C) insurance analytics, insurance pricing, rating engines, underwriting, claims, or risk analytics.
• Understanding of predictive modeling pipelines, feature engineering, and MLOps practices.
• Experience leading teams of 5+ professionals and driving cross-functional technical initiatives.
• Strong stakeholder management, communication, and strategic planning skills.

Preferred Qualifications

• Experience in insurance rating modernization and integrating predictive models into pricing platforms.
• Exposure to model deployment automation, monitoring, and scalable analytics platforms.
• Experience collaborating with actuarial, data science, and cloud engineering teams.
• A bachelor's or master’s degree in computer science, Data Science, Information Technology, or a related field.

Location & Travel

• Locations: New Delhi (Gurugram), Bangalore, and Pune.
• Candidates may be required to travel to Gurugram on a quarterly basis, depending on client requirements.

Shift: Second Shift (2:00 PM – 10:00 PM)

Joining: Immediate

About the Role

We are looking for an experienced Data Integration Developer with strong hands-on expertise in SQL, Python, ETL development, Snowflake, and AWS data services.

The ideal candidate should have extensive experience in designing, developing, and maintaining data integration solutions, building data warehouse architectures, and implementing scalable ETL pipelines. Strong SQL development and performance optimization skills are essential for this role.

This is a remote position; however, candidates must be available to visit our Mumbai or Bangalore location for three days during the onboarding process.

Key Responsibilities

SQL Development & Performance Optimization

• Develop complex SQL queries, stored procedures, and data transformation logic.
• Optimize SQL queries for performance, scalability, and efficiency.
• Perform advanced data analysis, validation, and reconciliation.
• Troubleshoot complex SQL and data-related issues.

ETL Development & Data Integration

• Design, develop, and maintain ETL pipelines and data integration workflows.
• Work with SQL and Python for data extraction, transformation, and loading.
• Ensure data accuracy, consistency, and integrity across systems.
• Identify and resolve data pipeline failures and integration issues.

Data Warehousing & Data Modeling

• Design and maintain data warehouse architectures.
• Develop data warehouse schemas based on business requirements.
• Work on dimensional data modeling, including Facts and Dimensions.
• Implement Slowly Changing Dimensions (SCD).
• Support data analysis and business information reconciliation.

Snowflake & AWS

• Develop and manage data solutions using Snowflake.
• Work with AWS services, particularly Amazon S3.
• Manage AWS connections and data access configurations.
• Build and maintain cloud-based data integration solutions.

Python & Apache Airflow

• Develop data processing and automation solutions using Python.
• Build, schedule, and monitor workflows using Apache Airflow.
• Troubleshoot workflow failures and improve pipeline reliability.

Agile & Development Lifecycle

• Participate in Agile development processes, sprint planning, and team discussions.
• Contribute throughout all stages of the software development lifecycle.
• Collaborate with cross-functional teams to understand business and technical requirements.
• Perform root cause analysis and implement appropriate corrective actions.

Required Skills

• Advanced SQL – Strong hands-on expertise is mandatory.
• Python Development
• ETL Development and Data Integration
• Snowflake
• Apache Airflow
• AWS Services, particularly Amazon S3
• AWS Connection Management
• Data Warehouse Architecture
• Data Modeling (Facts & Dimensions)
• Slowly Changing Dimensions (SCD)
• SQL Query Optimization and Performance Tuning
• Data Analysis and Reconciliation
• Troubleshooting and Root Cause Analysis
• Agile Development Methodologies
• Strong understanding of the Software Development Life Cycle (SDLC)

Experience & Qualifications

• 8–10 years of overall experience in Data Engineering / Data Integration / ETL Development.
• Strong professional experience in advanced SQL and Python.
• Hands-on experience with Snowflake, Apache Airflow, and AWS.
• Proven experience designing and developing data warehouse solutions.
• Experience working across the complete product development lifecycle.
• Ability to independently troubleshoot complex technical challenges.

Additional Requirements

• Immediate joiners preferred.
• Must be comfortable working in the second shift (2:00 PM – 10:00 PM).
• Position is remote, with a mandatory three-day onboarding visit to Mumbai or Bangalore.
• Strong communication, analytical, and problem-solving skills.
• Ability to work independently and collaboratively in an Agile environment.

• 3 years of relevant experience in DevOps, Site Reliability Engineering (SRE), cloud operations, or application production support.
• Strong practical understanding of AWS cloud services, including compute, storage, IAM, networking, security, and monitoring.
• Good Linux administration skills, including system troubleshooting, performance analysis, log investigation, and service management.
• Hands-on experience with GitLab CI/CD, including pipeline configuration, execution, troubleshooting, YAML files, variables, artifacts, and GitLab Runners.
• Mandatory hands-on experience with Infrastructure as Code (IaC), preferably Terraform, including infrastructure provisioning, configuration management, reusable modules, state management, and troubleshooting deployment issues.
• Working knowledge of Git, branching strategies, merge requests, and version control workflows.
• Good understanding of networking fundamentals, including DNS, TCP/IP, ports, routing, load balancers, and AWS security groups.
• Ability to systematically investigate and resolve infrastructure, application, and deployment issues using logs, metrics, monitoring tools, and dependency analysis.
• Working knowledge of Python or Shell scripting for operational automation and troubleshooting.
• Strong problem-solving skills, communication, collaboration, willingness to learn, and ownership of incidents through resolution.

Preferred Skills and Experience

• Basic SQL knowledge for application and database-related operational investigations.
• Experience with AWS monitoring and logging services, particularly Amazon CloudWatch.
• Familiarity with incident, problem, and change management processes in production environments.
• Exposure to operational automation, proactive monitoring, alert optimization, and root cause analysis (RCA).
• Understanding of cloud infrastructure best practices, including security, reliability, availability, and cost optimization.
• Experience supporting containerized applications using Docker, Kubernetes, or Amazon EKS would be an advantage.

Senior Ruby on Rails (RoR) & AWS Developer

Experience: 10 Years

Location: Bangalore

Work Mode: Hybrid – 3 days per week in office

Contract Duration: 6 Months

CTC: ₹9–12 LPA

Job Description

We are looking for an experienced Senior Ruby on Rails (RoR) & AWS Developer with strong expertise in backend development, cloud infrastructure, containerization, automated testing, and database management.

Mandatory Skills

• Strong experience in Ruby on Rails (RoR) development.
• Hands-on experience with Amazon Web Services (AWS).
• Experience with Docker and containerized applications.
• Proficiency in RSpec for automated testing and test-driven development.
• Strong knowledge of SQL and relational databases.
• Experience with at least one frontend technology: React.js or Angular.

Key Responsibilities

• Design, develop, test, and maintain web applications using Ruby on Rails.
• Build and integrate REST APIs and backend services.
• Deploy and maintain applications on AWS.
• Containerize applications using Docker.
• Write and maintain automated test cases using RSpec.
• Develop and optimize SQL queries and database operations.
• Collaborate with frontend developers and cross-functional teams.
• Troubleshoot application issues and improve performance, reliability, and code quality.

Work Requirements

• Approximately 10 years of relevant professional experience.
• Willingness to work from the Bangalore office 3 days per week.
• Comfortable with a 6-month contract engagement.

Interested candidates can share their updated resumes for consideration.

We’re Hiring | Technology Lead – Java & AWS

Locations: Kochi | Trivandrum | Bangalore

Experience: 15–18 Years

Key Skills: Java, AWS, AI/ML

What We’re Looking For

Strong hands-on expertise in Java and enterprise application development.

Solid experience with AWS and cloud-based architectures.

Practical experience implementing AI/ML solutions.

Expertise in solution architecture, system integration, and scalable application design.

Proven ability to lead technical initiatives while remaining actively involved in coding, design, and troubleshooting.

Experience delivering end-to-end enterprise solutions.

About the company:

We empower US healthcare payers with a truly next-generation, cloud-native, holistic, and customizable platform designed to prevent and adapt to the ever-evolving inaccuracies in healthcare claims and payments. By reducing complexity and administrative costs, we offer a unified, healthcare-dedicated platform backed by top VCs like BeeNext, 3One4 Capital, and Saison Capital.

Position Overview:

We are looking for an experienced DevOps Engineer to join our team in Bengaluru. In this role, you will be responsible for building, optimizing, and maintaining scalable, secure, and highly available multi-cloud infrastructure that supports our engineering teams. The ideal candidate brings strong hands-on experience with Kubernetes, Infrastructure as Code (Terraform), and robust monitoring/observability stacks to enable seamless, reliable, and automated deployments.

Key Responsibilities:

• Container Orchestration: Deploy, scale, and manage containerized workloads on Kubernetes (EKS, AKS, and GKE).
• Infrastructure as Code (IaC): Build and maintain modular, reusable, and version-controlled infrastructure using Terraform across AWS, Azure, and GCP.
• Monitoring & Observability: Set up, manage, and optimize monitoring, logging, and alerting stacks (e.g., Prometheus, Grafana, ELK/EFK, Loki, Datadog).
• CI/CD Pipeline Management: Own, improve, and automate CI/CD pipelines to enable fast, reliable, and frictionless software releases.
• System Reliability & SRE Practices: Implement best practices for system reliability, including defining SLIs/SLOs, managing incident response, and participating in on-call support.
• Troubleshooting & Support: Diagnose and resolve complex production issues across infrastructure, networking, and application layers.
• Security & Compliance: Implement infrastructure security best practices, including IAM policies, secrets management, and network security.
• Automation: Eliminate repetitive operational tasks by writing clean, efficient scripts in Python, Bash, or Go.
• Operations & Planning: Participate in capacity planning, cost optimization, disaster recovery, and infrastructure scaling initiatives while maintaining clear documentation and runbooks.

Requirements :

• Solid working experience with cloud providers, specifically AWS, Azure, or GCP.
• Strong understanding of containerization (Docker) and container orchestration concepts.
• Familiarity with Linux system administration and networking fundamentals.
• Experience with version control systems (Git) and GitOps workflows (ArgoCD/Flux is a plus).
• Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.

Qualifications :

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical field (or equivalent practical experience)

Key Skills:

• The ideal candidate must possess deep expertise in container orchestration, specifically hands-on experience managing Kubernetes ecosystems—including Helm charts, cluster networking, and RBAC policies—alongside a foundational mastery of Docker containerization.
• Proficiency in managing cloud architecture as software is essential, with a heavy emphasis on Terraform execution, including advanced module creation, state management, and multi-environment workspaces.
• A strong capability to implement full-stack visibility is required, utilizing tools like Prometheus, the Grafana LGMT stack, ELK/EFK, or Loki to build highly optimized monitoring, alerting, and logging systems.
• Candidates should have a proven track record of constructing and scaling automated deployment pipelines using industry-standard platforms such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps to minimize release friction. .
• Strong core programming fundamentals are required to automate repetitive infrastructure tasks, with practical proficiency in Python, Bash, or Go.
• Familiarity with cutting-edge cloud-native technologies is highly desirable, including enterprise service meshes (Istio, Linkerd), comprehensive cloud security frameworks (HashiCorp Vault, OPA, Trivy), and a data-driven approach to cloud cost management and FinOps practices.

Work Location: Jayanagar - Bangalore.

Work Mode: Work from Office, hybrid- 3 days WFO

Note: We are looking for immediate joiners & Bangalore Candidates only

Benefits:

• Best-in-class compensation
• Health insurance for Family
• Personal Accident Insurance
• Friendly and Flexible Leave Policy
• Certification and Course Reimbursement
• Medical Coding CEUs and Membership Renewals
• Health checkup
• And many more!

Work Mode: Hybrid

Notice Period: Immediate to 1 week

Application Support Specialist - Maximo

Position summary:  A Maximo Application Support Specialist in Kyndryl, is a person who has good experience in providing application support and troubleshooting for the customer’s Maximo application and can understand customizations. Person will troubleshoot and resolve application incidents and service requests and work on minor enhancement. The responsibilities are as defined in role description and responsibilities section below.

Work experience: Overall 10+ years of relevant IT experience, with focus on application support and development across Maximo system. Out of that, 7+ years deep expertise in a support domain with required technical skills.

Role description

1.     Handles application support and potential project activities related to Maximo application as a subject matter expert.

2.     Ability to cross train others in the technical area(s) as to provide backup personnel when not available.

3.     Ability to learn other tech skills to maximize utilization and contribute to overall application support.

Responsibilities

The chosen candidate will take on the following responsibilities in the following areas.

o  Maximo Applications Support (Level 2 and 3)

o  Take knowledge transfer from existing integration Subject Matter Experts while improving documentation, processes and ways of working.

o  Engage with users to support Maximo incidents, requests and alarms based on Service Level Agreements while striving to provide high standards and quality of customer service.

o  Work with Third Party Vendors as necessary.

o  Ability to learn and understand customers’ business and applications environment.

o  Provide timely and high-quality documentation in ServiceNow of all investigations and user, business analyst, customer IT and third party interactions.

o  Train other team members to enable them to provide coverage when unavailable

o  Ability to cross train and learn new technical skills to help improve overall performance and ability to contribute to application management support.

o  Performing code review of fixes and project deliverables. Lead work sessions and client discussion with application development/support teams.

o  Perform code/configuration changes based on the defined strategy and architecture.

o  Collaborate with enterprise architecture, information security, application & infrastructure teams to produce an optimal, high level, conceptual, and cost-effective application designs by using best practices.

o  Provide and lead root cause analysis for all Priority 1 issues related to Maximo

Experience

1.     Must have experience in Maximo application support. (Working experience of support / configuration of Maximo).

2.     Diagnose and resolve Maximo configuration, data, performance, and access issues

3.     Investigate failed or delayed Maximo-to-SAP transactions involving purchase orders, goods receipts, invoices, vendors, etc.

4.     Reprocess failed purchase orders, receipts, interface files and integration messages

5.     Support supplier setup and synchronization across Maximo, SAP and Custom built applications

6.     User Administration, security groups, roles, privileges

7.     Experience troubleshooting workflows, PO approvals and inventory transactions

8.     Configuration of workflows, domains, application settings

1. Familiarity with Service Now and ITIL processes

10.  Must have performed Level 2/3 application support in a managed services environment

11.  Experience in manufacturing industry (Metals)

Essential Technical Skills:  

Candidate should have experience as per below technical skill matrix

Maximo Application Support

Primary / Good to have

Maximo is SaaS and is in AWS.

It is version 9.1.

Client uses 900 app points for licensing.

ServiceNow

Maximo Asset Management

Professional Attributes:

o Strong collaboration skills within and across teams, geographies and domains

o Strong communication skills, written and verbal

o Proficient in Application Support and ITIL processes

o Self-starter who thrives in an ever-changing, fast-paced business environment

o Adaptability to the rapid change in technology

About the role

We are hiring a Principal Engineer to own the hardest technical problems in our product and see them through from first sketch to stable production. You will set technical direction, design systems that scale, and raise the engineering bar through your own work and the people around you. This is a hands-on leadership role: you write code, review designs, and ship.

What will you do?

You will own outcomes, not just tasks. Expect to spend your time on the following.

• Own projects end to end. Take an ambiguous problem, shape the requirements, design the solution, break down the work, deliver it to production, and stay accountable for how it runs afterwards.

• Lead system design. Author and review architecture for services, data pipelines and integrations, with clear trade-offs on scale, latency, cost, consistency and reliability.

• Write and review critical code. Build the hardest components yourself, and set standards for code quality, testing and maintainability through code and design reviews.

• Own deployment and operations. Design CI/CD, infrastructure and release strategies. Drive observability, on-call readiness, incident response and post-incident learning.

• Solve hard problems. Debug production issues across the stack, and find root causes in performance, concurrency, data and scaling problems.

• Mentor and multiply. Coach senior and junior engineers, grow future tech leads, and make the whole team faster and more confident.

• Partner across functions. Work with product, design, data and business teams to turn goals into technical plans, and to say no or reshape scope when needed.

• Shape technical strategy. Guide build-versus-buy decisions, manage tech debt, evaluate new technologies, and contribute to the engineering roadmap.

• Raise the bar. Help define engineering practices, hiring standards and culture, and take part in interviewing.

What are we looking for?

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Core engineering

• 10+ years of professional software engineering, with a track record of shipping and running production systems.

• Strong computer science fundamentals: data structures, algorithms and complexity, operating systems, networking, databases and concurrency.

• Fluency in at least one major backend language (for example Python, Go, Java, or Node.js/ TypeScript) and the ability to pick up others quickly.

• Deep knowledge of relational and NoSQL data stores: schema design, indexing, transactions, query tuning and replication.

System design and problem solving

• Proven ability to design distributed systems that are scalable, fault tolerant and cost aware, and to explain the trade-offs clearly.

• Experience with APIs, event-driven and asynchronous architectures, queues, caching and service-to-service communication.

• A structured approach to ambiguous problems: break them down, test assumptions, decide with incomplete data, and measure results.

• Strong debugging instincts, including performance profiling and production troubleshooting.

Delivery and operations

• Have led at least two significant projects from inception to production, including planning, milestones, risk management and launch.

• Hands-on experience with deployment: CI/CD pipelines, containers (Docker, Kubernetes), a major cloud (AWS, GCP or Azure), and infrastructure as code.

• Practical experience with monitoring, logging, alerting, SLOs and incident management.

• Habit of writing tests and automation, and of leaving systems more reliable than you found them.

Leadership and communication

• Experience leading engineers without formal authority, through influence, mentoring and clear technical writing.

• Excellent written and verbal communication: design docs, RFCs and concise updates to non-technical stakeholders.

• Ownership mindset, sound judgment on priorities, and comfort working in a fast-moving environment.

Nice to have

• Experience in fintech, lending or another regulated, data-heavy domain.

• Exposure to AI/ML or LLM-based systems in production: model serving, evaluation, retrieval, and cost and latency management.

• Deep experience with data engineering: streaming, batch pipelines, warehouses or search systems.

• Security and compliance awareness: authentication, encryption, audit trails, secure SDLC.

• Experience with multi-tenant SaaS, high-throughput systems or zero downtime migrations.

• Open-source contributions, conference talks, or technical writing.

• Experience scaling an engineering team or helping set up hiring and onboarding practices.

Job Summary

We are looking for an experienced DevOps Engineer with strong expertise in Linux administration, CI/CD automation, containerization, Kubernetes, cloud platforms, and Infrastructure as Code (IaC). The candidate should have experience in observability, DevSecOps practices, networking, AIOps, and certificate and secret management.

Mandatory Skills

• Strong experience in Linux administration and troubleshooting.
• Hands-on experience with Git and version control systems.
• Strong knowledge of CI/CD pipelines and automation.
• Experience with Docker and containerization.
• Hands-on experience with Kubernetes and/or OpenShift.
• Cloud experience with AWS and/or Microsoft Azure.
• Infrastructure as Code (IaC) using Terraform.
• Scripting experience using Python and Shell scripting.
• Monitoring and observability tools such as Prometheus, Grafana, AppDynamics, and Splunk.

Additional Skills

• Knowledge of DevSecOps practices and security integration into CI/CD pipelines.
• Understanding of networking concepts and troubleshooting.
• Exposure to AIOps and intelligent monitoring solutions.
• Experience with certificate management and secrets management.
• Knowledge of infrastructure automation, deployment, and performance monitoring.
• Strong troubleshooting, problem-solving, and collaboration skills.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for automated build and deployment processes.
• Manage and troubleshoot Linux systems, Docker containers, and Kubernetes/OpenShift environments.
• Automate infrastructure provisioning and configuration using Terraform.
• Manage cloud infrastructure across AWS and/or Azure.
• Develop automation scripts using Python and Shell.
• Implement monitoring, logging, and observability solutions.
• Integrate security practices into DevOps workflows and CI/CD pipelines.
• Manage certificates, secrets, and secure access to infrastructure and applications.
• Troubleshoot infrastructure, application, networking, and deployment issues.
• Improve system reliability, scalability, security, and operational efficiency.

# Job Description: Backend Developer (Microservices)

*Company:* PublicNext (ElectReps Pvt. Ltd.)

*Location:* Bengaluru, Karnataka

*Experience:* 0–1 Year

*Employment Type:* Full-time

## About PublicNext

PublicNext is Karnataka’s hyperlocal digital news platform, delivering news and video content across the state through its website and mobile applications. We are looking for a passionate Backend Developer to join our technology team and help build scalable, high-performance backend services using a microservices architecture.

## Role Overview

As a Backend Developer, you will design, develop, test, and maintain backend microservices that power PublicNext’s web and mobile applications. This role is ideal for fresh graduates or developers with up to one year of experience who are eager to learn backend engineering, APIs, databases, and scalable system design.

## Key Responsibilities

- Develop and maintain backend microservices for PublicNext’s web and mobile applications.

- Build and integrate RESTful APIs for news feeds, articles, videos, user activity, notifications, and other platform features.

- Write clean, efficient, maintainable, and reusable code.

- Work with databases such as PostgreSQL and MongoDB.

- Implement API validation, error handling, authentication, and authorization where required.

- Debug issues, fix bugs, and improve application performance.

- Write unit tests and participate in code reviews.

- Collaborate with frontend, mobile app, QA, and DevOps teams.

- Work with Git for version control and follow established development practices.

- Learn and contribute to deploying and monitoring services in a cloud environment.

## AI-Driven Software Development

- Hands-on experience using AI-powered development tools such as GitHub Copilot, Cursor, Claude,kiro,antigravity, opencode , or similar tools.

-Ability to leverage AI for code generation, refactoring, debugging, test creation, documentation, and code reviews.

-Proficiency in AI-assisted development workflows, including prompt engineering, context management, and iterative code refinement.

-Ability to validate AI-generated code for correctness, security, performance, and maintainability.

## Required Skills

- Strong programming fundamentals in Go (Golang) or a willingness to learn Go quickly.

- Basic understanding of REST APIs, HTTP methods, JSON, and client-server architecture.

- Familiarity with SQL and relational databases.

- Basic knowledge of data structures, algorithms, and object-oriented or structured programming.

- Familiarity with Git and GitHub/GitLab.

- Understanding of debugging, error handling, and writing modular code.

- Willingness to learn microservices architecture, caching, and distributed systems.

## Good to Have

- Academic projects or internship experience in backend development.

- Exposure to PostgreSQL, MongoDB, Redis, or message queues.

- Basic knowledge of Linux, Docker, and cloud platforms such as AWS.

- Experience building APIs or backend services for web or mobile applications.

## Education

- B.E./B.Tech in Computer Science, Information Science, IT, or a related discipline.

- BCA, MCA, or equivalent qualifications will also be considered.

- Freshers with strong programming fundamentals and practical projects are encouraged to apply.

## Who Should Apply?

- Fresh graduates interested in backend engineering.

- Developers with 0–1 year of experience who enjoy solving technical problems.

- Candidates eager to learn Go, microservices, databases, and scalable backend systems.

- Candidates who take ownership, learn quickly, and work well in a collaborative team.

Job Description

Role: Site Reliability Engineer (SRE)

Experience: 8+ Years

Location: Bangalore

Notice Period: Immediate Joiners Only

Key Responsibilities

• Implement reliability practices across applications and cloud platforms.
• Monitor and troubleshoot production systems using observability tools.
• Manage incidents, perform root cause analysis (RCA), and prepare post-incident reports.
• Develop and maintain CI/CD pipelines and automate operational tasks.
• Improve system availability, performance, scalability, and operational stability.
• Develop proof-of-concepts and convert them into production-ready solutions.
• Collaborate with engineering teams to improve reliability and reduce operational toil.
• Use AI tools responsibly to enhance operational efficiency and productivity.

Required Skills

• Strong SRE fundamentals and production support experience.
• Hands-on experience with AWS cloud services and best practices.
• Observability tools: Splunk, Grafana, and Datadog.
• Understanding of metrics, logs/events, and distributed tracing.
• Familiarity with Amazon Connect and contact center technologies, including voice, call recording, and telephony.
• CI/CD tools: Jenkins/Jules; source control: Git/Bitbucket.
• Scripting and automation skills are preferred.
• Experience in incident management, troubleshooting, and RCA documentation.
• Cloud certification or experience supporting cloud-based applications.
• Familiarity with AI concepts and responsible AI tool usage.

Location: Bangalore (Hybrid)

Experience: 10–15 Years

About the Role

At Twenty20 Systems, we are looking for a Solution Architect – Integration (Pre-Sales & Delivery) who can bridge the gap between business, technology, and client success.

This role is ideal for someone who combines strong integration architecture expertise with client-facing consulting, solutioning, and delivery leadership. You will play a key role in shaping client solutions, driving technical discussions, building scalable architectures, and ensuring successful delivery of enterprise integration programs.

This is a role for someone who enjoys owning the solution end-to-end — from pre-sales conversations to delivery execution.

What You’ll Do

• Lead solution architecture and technical consulting for enterprise integration opportunities.
• Work closely with sales, customers, and internal teams to understand requirements and design scalable integration solutions.
• Drive pre-sales activities including solutioning, technical proposals, architecture diagrams, effort estimation, and client presentations.
• Design and review API-led, event-driven, and iPaaS-based integration architectures across enterprise applications.
• Support delivery teams in ensuring architecture alignment, best practices, and successful implementation.
• Provide technical leadership across integration design, troubleshooting, governance, and production support.
• Partner with clients and internal stakeholders to solve business challenges through integration-led digital transformation.
• ​Mentor engineering teams and contribute to reusable frameworks, accelerators, and delivery playbooks.

What Your First 3 Months Will Look Like

• Understand our product, integration ecosystem, and customer requirements.
• Start leading client solution discussions and pre-sales technical conversations.
• Support ongoing delivery programs with architecture guidance and solution oversight.
• Build strong alignment across sales, product, engineering, and customer teams.

Where You’ll Be in 6 Months

• Leading end-to-end integration solutioning for key customer opportunities.
• Acting as a trusted technical advisor during both pre-sales and delivery stages.
• Driving architecture best practices and reusable integration frameworks.
• Contributing to business growth by enabling stronger technical solutioning and client confidence.

Roles and Responsibilities

• Build features across the stack — Implement product features that span the React frontend, the GraphQL federation, the Node.js microservices, and the underlying Postgres and ClickHouse stores.
• GraphQL federation work — Add types, resolvers, and subgraph capabilities to the federated Platform API. Keep subgraph boundaries clean. Respect RBAC enforcement at the federation layer.
• Developer experience surfaces — Lift NPS through intuitive UI/UX, fast onboarding, in-browser testing, clear error states, code-snippet generation, and fast time-to-first-successful-call.
• Billing and commerce features — Ship subscription, plan, invoice, payout, and overage features that touch Stripe / PayPal webhooks, the billing state machine, and the usage ledger.
• API catalog and discovery — Improve marketplace search and the API listing experience, including the ranking signals that flow in from the analytics and search stack.
• Observability and quality — Instrument every feature you ship — logs, traces, and metrics are part of the definition of done, not a follow-up ticket. Write the alerts that page you, not someone else.
• Testing discipline — Own unit and integration tests for everything you ship; contribute to the end-to-end and contract test suites that protect the federation and the billing path. A feature without tests is not done.
• On-call and incident response — Take part in on-call rotations; investigate proxy errors, GraphQL federation timeouts, and billing webhook anomalies. You build it, you run it.
• LLM-assisted engineering — Use LLM-based coding and agentic tooling to evolve how features are shipped, reviewed, and tested.

What Success Looks Like

•  Features you ship measurably improve activation, time-to-first-successful-call, and developer NPS quarter over quarter.
• The GraphQL federation surface you touch stays fast, well-typed, and intuitive for the next engineer.
• Billing, subscription, and overage flows you build are accurate, auditable, and replayable — providers and consumers trust the numbers.
• ou ship at a confident cadence — PRs land daily, deploys are routine and boring, regressions are rare.
• You leave the code, the docs, and the tests in better shape than you found them.

What You Bring

• 4–7 years of full-stack product engineering experience, with non-trivial work on production systems used by real customers.
• Strong TypeScript/Node.js; comfort writing both frontend (React) and backend services.
• Hands-on GraphQL experience — ideally federation (Apollo Federation / Mercurius / similar), schema design, subgraph composition, persisted queries, performance tuning.
• Solid SQL and comfort with MySQL or Postgres in production; bonus for ClickHouse or Redis experience.
• Familiarity with AWS (EKS, Lambda, Aurora) and containerised deployment on Kubernetes.
• Comfortable with modern observability, feature flags, and CI/CD pipelines.
• Care for developer experience — APIs you would want to consume, docs you would want to read, errors you would want to debug.
• Bonus: experience with billing/commerce systems (Stripe / PayPal), API gateways, rate-limiting, agent protocols (MCP, A2A, x402), or LLM-based developer tooling.
• You are pragmatic, ship-oriented, and comfortable in a system big enough that no one person knows all of it.

Role overview:

·         Technology Expertise & DBA Skill Set

·         Cloud Platforms: AWS, Azure

·         Database IaaS: Oracle, Microsoft SQL Server, PostgreSQL

·         Database PaaS: CosmosDB, MySQL, SQL Managed Instance, RDS Aurora, MongoDB

·         Infrastructure as Code: Terraform, Ansible

·         CI/CD & Automation: GitHub Actions, GitLab, Azure DevOps

·         Programming & Scripting: Python, Bash/Shell, PowerShell

·         Operating Systems: Linux/Unix (RHEL, Ubuntu), Window

Database Team Overview

Our Database Team is the foundation of enterprise-grade databases delivering secure, compliant and high-performing database platforms across Azure and AWS. We provide managed services for Oracle and Microsoft SQL Server, operating in a system DBA role to ensure platform reliability, resilience, and operational excellence. In addition, we support PaaS and RDS database services by acting as the platform team defining policies, enforcing security standards, and managing networking configurations while enabling self-service capabilities for application teams to consume these services efficiently.

What would you do here:

·         Database Security & Compliance: Implement robust security controls, encryption, and auditing to safeguard sensitive data and meet regulatory requirements.

·         Lifecycle Management: Oversee patching, upgrades, and end-of-life transitions to maintain platform stability and minimize risk.

·   Performance Optimization: Monitor and tune databases for optimal performance across diverse workloads.

·         Automation & Operational Excellence: Design and deploy automation for provisioning, monitoring, and maintenance to achieve “brilliant basics” and reduce manual intervention.

·         Business-Critical Certification: Validate and certify database environments to support mission-critical applications with high availability and disaster recovery strategies.

·         Incident & Problem Management: Provide rapid response and  root-cause analysis for database-related incidents to ensure business continuity.

·         Capacity Planning & Scalability: Forecast growth and optimize resources to support evolving business needs.

Best Regards!

IT professional with approximately 4 year experience. Expert in production support, application support, aws, application support devops engineer, linux, docker, github, jenkins, maven, tomcat server, kubernetes.

Key Responsibilities

• Build and ship features across the frontend and backend.

• Design and implement RESTful APIs with appropriate validation and error handling.

• Write clean, maintainable, well-tested code.

• Participate in code reviews and collaborate with the engineering team.

• Use AWS services such as S3 and Lambda for file storage, serverless functions, and scheduled tasks.

• Debug production issues using Sentry and New Relic.

• Contribute to CI/CD pipelines and deployment processes

Must-Have Skills

• Strong proficiency in Go (Golang).

• Hands-on experience with Next.js and TypeScript.

• Solid understanding of PostgreSQL, including queries, schema design, and migrations.

• Experience designing and implementing REST APIs.

• Familiarity with Git and collaborative workflows, including pull requests, code reviews, and branching.

• Strong problem-solving skills and the ability to debug independently.

Good to Have

• Experience with AWS services such as S3, Lambda, EC2, and CloudWatch.

• Experience with Docker and containerized deployments.

• Familiarity with CI/CD using GitHub Actions.

• Understanding of cron jobs and background task processing.

• Experience working in a small, fast-moving team. 

Cloud Engineers – 2nd Shift – 4+ Years Experience

Required Qualifications:

• Strong experience in AWS infrastructure components and operational management (e.g., EC2, S3, VPC, IAM).
• Proficiency in IaC tools such as Terraform and/or CloudFormation.
• Solid scripting skills in Python, Bash, or equivalent for automation tasks.
• Experience with monitoring and logging tools (e.g., CloudWatch, Prometheus, ELK).
• Familiarity with network fundamentals: DNS, firewall rules, virtual networks.
• Strong troubleshooting mindset and experience resolving production-level issues.
• Excellent documentation and communication skills to maintain system knowledge and collaborate with teams.

Preferred Qualifications:

• AWS certifications (e.g., SysOps Administrator).
• Experience with containerization (Docker, Kubernetes/EKS/ECS).
• Exposure to CI/CD tooling like Terraform, DevOps, GitHub Actions, or any other DevOps tools.
• CI/CD pipeline, infra pipelines.
• AWS services like compute, network, storage, security.
• Migration experience like Discovery/Assessments, TA, Infra Design.

Job Summary

We are looking for an experienced Python Developer for the position of Delivery Module Lead. The ideal candidate should have strong hands-on experience in Python programming, front-end technologies, and back-end development. The candidate will be responsible for developing scalable web applications, integrating APIs, and collaborating with cross-functional teams to deliver high-quality software solutions.

Key Responsibilities

• Design, develop, and maintain scalable web applications using Python and front-end technologies.
• Collaborate with product managers, designers, and developers to understand business requirements and implement solutions.
• Develop responsive user interfaces and optimize application performance across different browsers and devices.
• Write clean, reusable, and maintainable code following development best practices.
• Conduct code reviews and ensure code quality and standards.
• Debug, troubleshoot, and resolve application issues.
• Develop and integrate RESTful APIs and web services.
• Participate in Agile development activities, including sprint planning, daily stand-ups, and retrospectives.
• Continuously improve development processes and stay updated with emerging technologies.

Mandatory Skills

• Strong proficiency in Python programming.
• Hands-on experience with HTML, CSS, and JavaScript.
• Experience with front-end frameworks such as React, Angular, or Vue.js.
• Experience with back-end frameworks such as Django or Flask.
• Good understanding of RESTful APIs and web services.
• Experience with Git and version control systems.
• Strong problem-solving and analytical skills.

Preferred Skills

• Knowledge of databases such as PostgreSQL, MySQL, or MongoDB.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with Docker and containerization technologies.
• Understanding of CI/CD pipelines and DevOps practices.
• Experience with Agile methodologies and project management tools.

Position: Test Engineer (Manual / Automation)

Location: Bangalore

Experience: 3-5 years

Employment Type: Full-time

About the Role

We are looking for a skilled Test  Engineer with strong experience in manual and automation testing to collaborate  QA efforts across multiple projects. The ideal candidate will drive testing strategy and ensure product quality through process excellence and automation adoption.

Key Responsibilities

·       Define and implement test strategies, plans, and quality standards.

·       Oversee test design, execution, defect tracking, and triage.

·       Drive automation and integrate testing with CI/CD pipelines.

·       Collaborate with cross-functional teams for timely, quality releases.

·       Track and report QA metrics (defect density, coverage, leakage, progress).

·       Conduct risk-based testing and prioritize critical areas.

·       Manage test data, environments, and reviews for continuous improvement.

·       Ensure best testing practices and high-quality delivery across projects.

Required Skills & Qualifications

• Bachelor’s in Computer Science, IT, or related field.
• Strong manual testing and test case design skills.
• Hands-on experience with automation tools (Selenium, Playwright, Cypress, etc.).
• API testing experience (Postman, Swagger).
• Understanding of SDLC, Agile/Scrum, and CI/CD.
• Excellent problem-solving, communication, and mentoring skills.

Good to Have

• Knowledge of performance testing tools (JMeter, LoadRunner).
• Exposure to cloud-based testing (AWS, Azure).

Why Join Us?

• Lead a high-performing QA team with real ownership.
• Build automation frameworks and influence testing strategy.
• Exposure to full SDLC and enterprise-scale applications.
• Growth path toward QA Manager / Head of QA.

Job Description:

We are looking for an experienced Senior Full Stack Engineer with strong expertise in Java, Node.js, frontend technologies, AWS cloud services, and basic AI integration.

Required Skills:

• Java, Spring Boot, Node.js
• React / Angular / Vue.js
• REST APIs, SOA, Microservices
• AWS EC2, Lambda, EKS, CloudWatch
• AWS CDK, CloudFormation
• Docker, CI/CD
• MongoDB, AWS Architecture
• Basic experience with Amazon Bedrock / AI Integration

Important Requirements:

• 7–12 years of relevant experience.
• Must be currently based in Bangalore.
• Immediate joiners or candidates serving notice up to 25 days only.
• No relocation candidates.

Job Summary 

A Senior Full Stack Observability Engineer – AI Ops & Autonomous Observability to handle / manage , Design and implement enterprise-wide observability across applications, infrastructure, cloud, network, database and digital services. Lead adoption of Datadog, AI Ops, SRE and Autonomous Observability. Build agentic AI and multi-agent orchestration solutions that automate operational workflows and enable autonomous operations.

Technical Skills

• Datadog (Expert)
• OpenTelemetry
• Distributed Tracing
• Application Performance Monitoring
• AI Ops
• LangGraph/CrewAI/AutoGen/Semantic Kernel
• Python
• Azure, AWS
• Kubernetes
• ServiceNow Integration
• 
  

Enterprise Observability Strategy

• Define observability standards, governance and operating model.
• Create monitoring roadmaps, service health frameworks, business service dashboards and dependency mapping.
• 
  

Full Stack Observability Scope

• Applications, APIs, microservices and user journeys.
• Windows, Linux, VMware, storage and infrastructure platforms.
• Azure and AWS.
• Network monitoring, SQL and NoSQL databases.
• 
  

Datadog Platform

• Deploy and optimize Datadog solutions.
• Build dashboards, monitors, alerts and observability-as-code frameworks.
• Integrate Datadog with ServiceNow, Teams and enterprise tooling.
• New Relic exposure is optional.
• 
  

AI Ops Responsibilities

• Event correlation and noise reduction.
• Predictive analytics and anomaly detection.
• Incident intelligence and root cause analytics.
• Proactive issue identification and MTTR reduction

Strong Data Engineer (AWS) Profile

2

Mandatory (Experience 1) – Must have minimum 6+ years of experience in Data Engineering, with strong experience designing, developing, and maintaining scalable data pipelines and ETL processes.

3

Mandatory (Experience 2) – Must have 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.

4

Mandatory (Experience 3) – Must have strong programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.

5

Mandatory (Experience 4) – Must have strong expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.

6

Mandatory (Experience 5) – Must have hands-on experience working with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.

7

Mandatory (Experience 6) – Must have experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.

8

Mandatory (Education) – B.Tech / B.E./ M.Tech

We are seeking a highly skilled Full-stack Developer to join our dynamic 

team as a Delivery Module Lead. The ideal candidate will possess strong expertise in Python 

and front-end technologies, enabling them to design, develop, and maintain robust web 

applications. This role requires a proactive individual who can collaborate effectively with 

cross-functional teams to deliver high-quality software solutions that meet business needs. 

Responsibilities: 

∙Design, develop, and maintain scalable web applications using Python and front-end 

technologies. 

∙Collaborate with product managers, designers, and other developers to define project 

requirements and deliver solutions that meet user needs. 

∙Implement responsive user interfaces and ensure optimal performance across various 

devices and browsers. 

∙Write clean, maintainable, and efficient code while adhering to best practices and 

coding standards. 

∙Conduct code reviews and provide constructive feedback to team members to enhance 

code quality. 

∙Debug and troubleshoot issues in existing applications, providing timely resolutions. 

∙Stay updated with emerging technologies and industry trends to continuously improve 

development processes. 

∙Participate in Agile development processes, including sprint planning, daily stand-

ups, and retrospectives. 

Mandatory Skills: 

∙Proficient in Python programming language. 

∙Strong knowledge of front-end technologies such as HTML, CSS, and JavaScript. 

∙Experience with front-end frameworks like React, Angular, or Vue.js. 

∙Familiarity with back-end frameworks such as Django or Flask. 

∙Understanding of RESTful APIs and web services. 

∙Experience with version control systems, preferably Git. 

∙Strong problem-solving skills and attention to detail. 

About the Role

We are hiring a Backend Engineer to build and operate the services that power a leading technology marketplace being relaunched under new ownership.

You will work behind the GraphQL federation, inside the ~40 microservices that own billing, subscriptions, the catalog, RBAC, the proxy's control plane, and the Analytics/Quota services. The runtime is Node.js/TypeScript on AWS EKS, with Aurora MySQL / Postgres and DynamoDB for state, Redis / Elasticache / Couchbase for caching, Kafka (MSK) and Kinesis as the event backbone, and ClickHouse for real-time analytics reads. Every consumer-to-provider call passes through the proxy your services configure, and every dollar of marketplace revenue flows through the commerce code your services own.

Roles and Responsibilities

• · Build and operate services — Design, ship, and run Node.js/TypeScript services that sit behind the GraphQL federation. Own a slice of the ~40-service estate end-to-end: API design, schema, persistence, tests, deployment, on-call.
• GraphQL federation subgraphs — Add types, resolvers, and capabilities to the federated Platform API. Keep subgraph boundaries clean; respect RBAC at the federation enforcement layer.
• Commerce backbone — Build the subscription, invoicing, overage, dispute, and payout flows that integrate with Stripe and PayPal webhooks and the billing state machine. Make sure metering, billing, and payouts stay accurate, auditable, and replayable.
• Proxy control plane — Build the management APIs and background workers that configure the runtime proxy: API keys, plans, rate-limit policies, quota caches, abuse signals.
•  Event-driven systems — Produce and consume Kafka and Kinesis events safely: schema evolution, idempotency, retries, dead-letter handling. Operate Lambda consumers where they're the right tool.
• Data services — Help own the Node.js Analytics Service and Quota Service that front ClickHouse and Snowflake. Keep latency low, queries cheap, and authorisation correct.
• Performance and reliability — Diagnose hot paths, tune queries, add caches where they matter, and remove caches that have become liabilities. Write the SLOs and the alerts that defend them.
•  Security isolation — Implement OAuth2 / JWT / mTLS where they belong; respect least-privilege; design APIs that fail closed.
• On-call and incident response — Take part in the rotation. Lead investigations across services when something rooted in your area breaks.
• LLM-assisted engineering — Use LLM-based coding and agentic tooling to evolve how features are designed, reviewed, and tested.

What Success Looks Like

•    Services you own meet their SLOs, deploy multiple times a day, and rarely wake anyone up.

•    Billing, subscription, overage, and payout flows you ship are accurate to the cent, replayable, and trusted by both providers and consumers.

•    GraphQL subgraphs you maintain stay fast, well-typed, and pleasant to extend.

•    Event pipelines you produce and consume are idempotent, observable, and survive replay and back-pressure.

•    The first generation of agent-native primitives you help build land in production and start carrying real agent traffic.

What You Bring

•    5–8 years of backend engineering experience, with non-trivial work on production services that real customers depended on.

•    Strong TypeScript / Node.js in a production service environment; comfort with async patterns, streams, and back-pressure.

•    Solid API design — REST and GraphQL (ideally federation: Apollo Federation, Mercurius, or similar). Schema design, persisted queries, performance tuning.

•    Production fluency with SQL — MySQL and/or Postgres. Bonus for Redis or ClickHouse.

•    Experience with event-driven systems — Kafka or similar. You understand idempotency, exactly-once myths, and consumer lag.

•    Hands-on AWS (EKS, MSK, Kinesis, DynamoDB, Lambda, DMS) and Kubernetes. Comfortable reading and writing Terraform.

•    Modern engineering practice: observability, feature flags, CI/CD, and safe rollouts.

•    Care for correctness on the money path — you have shipped billing, metering, or payment code before and have the scars to show for it.

•    Bonus: experience with API gateways, rate limiting, quota enforcement, usage metering, agent protocols (MCP, A2A, x402), or LLM-based developer tooling.

•    You write small, reviewable PRs. You add the test before you fix the bug. You would rather ship a smaller thing well than a bigger thing badly.

Solid product experience and an educational background from Tier‑1 universities are preferred.

As a Senior AI Engineer, you will play a key role in designing and delivering highly scalable, next generation AI products within our AI stack. You will work in a technically rich environment with talented peers, contributing to product planning, design, and execution while influencing the evolution of Teradata’s AI capabilities. 

In this role, you will: 

• Design, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance. 
• Collaborate with cross-functional engineers and product partners to shape design and consistently deliver end to end features. 
• Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability. 
• Work with SQL and NoSQL databases to implement efficient data models and service access patterns. 
• Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs). 
• Use AI powered engineering tools to improve development quality, speed, and productivity. 
• Mentor engineers, supporting them in technical planning, implementation, and best practices. 
• Identify and resolve system performance bottlenecks, optimizing code, design, and infrastructure. 
• Write unit and integration tests and participate in code reviews to uphold engineering excellence. 
• Investigate production issues, ensuring timely and effective solutions. 
• Stay current with emerging trends in engineering, AI/ML, and cloud-native technologies. 

Who You’ll Work With 

You will be part of a high-performing engineering team building core components of Teradata’s AI platform. You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company. The role offers opportunities to contribute directly to Teradata’s AI product roadmap and technological direction. 

What Makes You a Qualified Candidate 

(Nonnegotiable qualifications) 

• Bachelor’s degree in Computer Science or equivalent from a recognized institution. 
• 5+ years of experience in backend services, distributed systems, or data platform development. 
• Strong proficiency in Java, Go, or Python for service development. 
• Good understanding of design principles, distributed system patterns, and service framework. 
• Hands-on experience designing and developing RESTful APIs. 
• Experience with SQL and NoSQL databases and data modelling. 
• Strong debugging, problem solving, and troubleshooting skills. 
• Experience with modern containerization and orchestration tools such as Kubernetes. 
• Knowledge of public cloud platforms. 
• Experience with AI productivity tools (e.g., GitHub Copilot). 
• Ability to work independently, drive workstreams, and deliver high quality outcomes. 
• Strong communication and collaboration skills. 

What You’ll Bring 

(Preferred qualifications) 

• Familiarity with messaging systems such as Kafka. 
• Experience experimenting with or implementing AI/ML technologies, Agentic AI, or LLMs. 
• A track record of influencing design decisions and driving engineering best practices. 
• The ability to mentor engineers and guide them through design, planning, and execution. 
• A proactive mindset and comfort working in fast paced, dynamic environments. 
• Curiosity, adaptability, and a passion for building impactful AI-driven products. 

Associate Platform Engineer

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 0.6-2 years (Excluding Intership)

Shift Timing: 2 PM to 11 PM IST

About Company

It is driving the electric mobility revolution through cutting-edge software, infrastructure, and professional services. Our technology empowers utilities, cities, fleets, transit agencies, and automakers to deploy EV charging infrastructure at scale safely, efficiently, and sustainably. With a global footprint spanning three continents and operations in 13 countries, we are passionate about shaping the future of sustainable transport.

Operating over 70,000 charge points globally, It is driving the transition toward cleaner, smarter, and more efficient mobility. The India team serves as a critical operational hub, supporting global platforms focused on decarbonization, digitalization, and scalable infrastructure growth.

At this company, we value purpose-driven individuals who want to make a meaningful impact and help create a cleaner, smarter, and more connected world.

Role Overview

It is seeking a Platform Engineer! We are excited to find a highly engaged engineer who is obsessed with technology that wants to be a part of a “world class” platform SRE team. Their engineers must possess an "automation first" mindset, with a relentless focus on documentation, quality, scalability, and reliability using Infrastructure as Code tools. This position will be part of a platform team that is developing exciting products and solutions and playing a key part in driving forward the electrification of transportation.

What you’ll do:  

• Ensure system reliability, uptime, and performance of global platform.
• Conduct real-time surveillance of our EV charging systems to proactively identify and mitigate performance issues and anomalies near 24/7 basis. As such, you collaborate with IDT and FMC players to ensure incident detection also happens outside office hours (monitoring shifts among team members subject to duty schedule) 
• Deliver on change & releases like firmware changes and drive insights & intelligence back into testing processes and tech discussions with the wider organization. 
•  Successfully deliver and project manage first time right commissioning activities alongside our Engineering Procurement Contract Management (EPCM) partners to successfully bring charge points onto our Charge Point Management System (CPMS).
• End-to-end EV charger lifecycle management, including deployment, commissioning, monitoring, maintenance, and decommissioning activities.
• Provide technical guidance and support to DC specialists during the commissioning of EV charging solutions.
•  Work closely with Shell, Engineering, and IT colleagues to ensure projects are completed on time and to specification.
• Act as a liaison with the Engineering Procurement Contract Management (EPCM) partner to manage projects from start to finish, ensuring charge points are successfully onboarded on the Charge Point Management System (CPMS).
• Collaborate with development, operations and support  teams to build scalable and resilient systems.
• Contribute to incident response, root-cause analysis, and post-mortem reviews, driving continuous improvement.
• Participate in capacity planning, performance tuning, and resource optimization.
• Integrate security and compliance best practices into all infrastructure operations.
• Stay current with emerging SRE tools, frameworks, and cloud technologies to continuously improve reliability practices.
• Participate in and lead on-call rotations and incident response, conducting detailed postmortems and RCA reports.
• Flexible to resolve blocking issues during off hours or weekends if required.  

What We’re Looking For: 

Basic Qualifications and skills

• Bachelor’s degree in Engineering , Electrical, ECE, Computer Science, Information Technology, or related field.
• Overall 1+ years of experience as a Site Reliability Engineer, DevOps/ Technical project coordinator role.
• Proven experience of DevOps, Platform Engineer, SRE or Technical Project Coordination with IoT or connected devices based platforms.
• Experience with incident management and on-call best practices. Provide support to on call engineers
• Manage and maintain AWS cloud infrastructure to ensure high availability, scalability, reliability, and performance of the EV charging platform.
• Use Terraform (Infrastructure as Code) to automate infrastructure provisioning, configuration, and environment management.
• Configure and manage load balancing to distribute traffic efficiently across platform services, improve application availability, and eliminate performance bottlenecks.
• Excellent analytical and problem-solving skills with a proactive mindset. 
• Expertise with monitoring and observability tools (Dynatrace,Prometheus, Grafana, Zabbix, etc.).
• Proactively monitor the network, triage performance outliers, and coordinate correction actions to ensure optimal system functionality.
• Fluency in English (spoken and written). 
• Successfully recommission or decommission chargers following changes in our network.
• Responsible for the go-live of the chargers on Shell’s public network following commissioning attempts.

 Note: This role involves managing infrastructure for a global platform operating in over ten countries, requiring effective communication and collaboration across regions. Strong verbal and written communication skills, along with availability and flexibility to resolve blocking issues, are essential to support On-call Engineers. This role may involve EU or US time‑zone shifts based on business requirements. The shift timing will be 2 PM IST to 11 PM IST.  

What We Offer

• Work with some of the brightest minds in the emerging EV industry.
• Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
• Freedom to suggest, implement, and innovate on systems, processes, and technologies.
• Daily ownership in a high-growth, challenging environment.
• Flexible work environment with hybrid schedules and virtualization options.
• Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.

We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.

Key Responsibilities

• Review, validate, and optimize existing Terraform code and AWS infrastructure.
• Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
• Design, build, and support secure, scalable, and highly available AWS environments.
• Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
• Lead infrastructure testing, performance tuning, and production readiness activities.
• Drive deployment and operationalization of the platform in the Production environment.
• Implement cloud governance, security, monitoring, and FinOps best practices.
• Troubleshoot and resolve complex cloud infrastructure issues.

Required Skills & Experience

• 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
• Proven experience designing, deploying, and managing AWS production environments.
• Strong hands-on experience with Terraform and Infrastructure-as-Code.
• Experience with CI/CD pipeline automation and DevOps practices.
• Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
• Experience in performance optimization, reliability, and cloud cost management (FinOps).
• Strong scripting and automation skills.
• Experience integrating enterprise applications through APIs and secure connectivity patterns.

Preferred Skills

• Experience supporting AI/GenAI, chatbot, or multi-agent platforms.
• AWS Certifications (Associate/Professional).
• Banking or Financial Services domain experience.

Job Summary: We are seeking a highly skilled Full-stack Developer to join our dynamic team as a Delivery Module Lead. The ideal candidate will possess strong expertise in Python and front-end technologies, enabling them to design, develop, and maintain robust web applications. This role requires a proactive individual who can collaborate effectively with cross-functional teams to deliver high-quality software solutions that meet business needs.

• Proficient in Python programming language.
• Strong knowledge of front-end technologies such as HTML, CSS, and JavaScript.
• Experience with front-end frameworks like React, Angular, or Vue.js.
• Familiarity with back-end frameworks such as Django or Flask.
• Understanding of RESTful APIs and web services.
• Experience with version control systems, preferably Git.

Position: Technical Architect – Data Engineering

Job Summary:

• We are looking for an experienced Technical Architect to lead the design and implementation of modern cloud-based data platforms.
• The ideal candidate should have strong expertise in Azure and/or AWS, Databricks, Snowflake, modern data architecture, and large-scale data engineering.
• The candidate will work closely with business stakeholders, architects, and engineering teams to deliver scalable, secure, and high-performance data solutions.

Key Responsibilities

• Design enterprise-scale data lakehouse and data warehouse architectures.

• Define data ingestion, transformation, and serving architecture.

• Lead architecture discussions and technical governance.

• Design scalable ETL/ELT frameworks using Databricks and Snowflake.

• Define best practices for security, performance, CI/CD, and DevOps.

• Guide engineering teams on implementation.

• Collaborate with business, product, and data governance teams.

Must Have Skills :

• Azure or AWS

• Databricks

• Snowflake

• Data Lakehouse Architecture

• PySpark

• SQL

• Data Modelling

• ETL/ELT Architecture

• Performance Optimization

• CI/CD

• Terraform or Infrastructure as Code (preferred)

Preferred

• Insurance domain

• dbt

• Unity Catalog

• Delta Lake

• Iceberg

• Azure Data Factory / AWS Glue  

AWS / Kubernetes / OpenShift / Linux – Job Description

Role: Cloud / DevOps Engineer

Experience: 4–8 Years

Location: Bangalore

Mandatory Skills: AWS, Kubernetes, OpenShift, Linux

Job Summary

Looking for a Cloud/DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, container platforms, deployments, monitoring, and troubleshooting.

Key Responsibilities

• Manage and support AWS cloud infrastructure and services.
• Deploy and manage applications using Kubernetes and OpenShift.
• Perform Linux administration, troubleshooting, and issue resolution.
• Monitor application and infrastructure health and resolve production issues.
• Work on containerized applications and deployments.
• Support scaling, configuration, upgrades, and maintenance of Kubernetes/OpenShift environments.
• Troubleshoot cloud, container, and Linux-related issues.
• Collaborate with development and operations teams for deployments and releases.
• Follow security, availability, and operational best practices.

Mandatory Skills

• Strong hands-on experience in AWS
• Good experience with Kubernetes
• Hands-on experience in OpenShift
• Strong Linux administration and troubleshooting skills
• Experience in cloud/container environment support
• Good production troubleshooting and incident management skills

Responsibilities:

• Architect, develop, and maintain backend components for our Risk Decisioning Platform.
• Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
• Integrate with ORM layers - such as SQLAlchemy - and multi-RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc. ) to ensure data integrity, scalability, and compliance.
• Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
• Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
• Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.

Requirements:

• Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
• Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows, and workflow automation.
• Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
• Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
• Experience mentoring and guiding junior developers.

Technical Skills:

• Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular.
• Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark.
• Databases: PostgreSQL, Oracle, SQL Server, Redis.
• Tools: pytest, Docker, Git, Nx.
• Cloud: Experience with AWS, Azure, or GCP preferred.
• Monitoring: Familiarity with OpenTelemetry and logging frameworks.

Jr Platform Engineer

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 0.6-2 years

Shift Timing: 2 PM to 11 PM IST

About Company

It is driving the electric mobility revolution through cutting-edge software, infrastructure, and professional services. Our technology empowers utilities, cities, fleets, transit agencies, and automakers to deploy EV charging infrastructure at scale safely, efficiently, and sustainably. With a global footprint spanning three continents and operations in 13 countries, we are passionate about shaping the future of sustainable transport.

Operating over 70,000 charge points globally,It is driving the transition toward cleaner, smarter, and more efficient mobility. The India team serves as a critical operational hub, supporting global platforms focused on decarbonization, digitalization, and scalable infrastructure growth.

At this company, we value purpose-driven individuals who want to make a meaningful impact and help create a cleaner, smarter, and more connected world.

Role Overview

It is seeking a  TechOps Engineer! We are excited to find a highly engaged engineer who is obsessed with technology that wants to be a part of a “world class” platform SRE team. It engineers must possess an "automation first" mindset, with a relentless focus on documentation, quality, scalability, and reliability using Infrastructure as Code tools. This position will be part of a platform team that is developing exciting products and solutions and playing a key part in driving forward the electrification of transportation.

What you’ll do:  

• Ensure system reliability, uptime, and performance of global platform.
• Conduct real-time surveillance of our EV charging systems to proactively identify and mitigate performance issues and anomalies near 24/7 basis. As such, you collaborate with IDT and FMC players to ensure incident detection also happens outside office hours (monitoring shifts among team members subject to duty schedule) 
• Deliver on change & releases like firmware changes and drive insights & intelligence back into testing processes and tech discussions with the wider organization. 
•  Successfully deliver and project manage first time right commissioning activities alongside our Engineering Procurement Contract Management (EPCM) partners to successfully bring charge points onto our Charge Point Management System (CPMS).
• End-to-end EV charger lifecycle management, including deployment, commissioning, monitoring, maintenance, and decommissioning activities.
• Provide technical guidance and support to DC specialists during the commissioning of EV charging solutions.
•  Work closely with Shell, Engineering, and IT colleagues to ensure projects are completed on time and to specification.
• Act as a liaison with the Engineering Procurement Contract Management (EPCM) partner to manage projects from start to finish, ensuring charge points are successfully onboarded on the Charge Point Management System (CPMS).
• Collaborate with development, operations and support  teams to build scalable and resilient systems.
• Contribute to incident response, root-cause analysis, and post-mortem reviews, driving continuous improvement.
• Participate in capacity planning, performance tuning, and resource optimization.
• Integrate security and compliance best practices into all infrastructure operations.
• Stay current with emerging SRE tools, frameworks, and cloud technologies to continuously improve reliability practices.
• Participate in and lead on-call rotations and incident response, conducting detailed postmortems and RCA reports.
• Flexible to resolve blocking issues during off hours or weekends if required.  

What We’re Looking For: 

Basic Qualifications and skills

• Bachelor’s degree in Engineering , Electrical, ECE, Computer Science, Information Technology, or related field.
• Overall 1+ years of experience as a Site Reliability Engineer, DevOps/ Technical project coordinator role.
• Proven experience of DevOps, SRE, or Technical Project Coordination with IoT or connected devices based platforms.
• Hands-on experience with cloud platforms such as AWS and Infrastructure as Code (IaC) tools such as Terraform.  
• Experience with incident management and on-call best practices. Provide support to on call engineers.
• Excellent analytical and problem-solving skills with a proactive mindset. 
• Expertise with monitoring and observability tools (Dynatrace,Prometheus, Grafana, Zabbix, etc.).
• Proactively monitor the network, triage performance outliers, and coordinate correction actions to ensure optimal system functionality.
• Fluency in English (spoken and written). 
• Successfully recommission or decommission chargers following changes in our network.
• Responsible for the go-live of the chargers on Shell’s public network following commissioning attempts.
• 
  

 Note: This role involves managing infrastructure for a global platform operating in over ten countries, requiring effective communication and collaboration across regions. Strong verbal and written communication skills, along with availability and flexibility to resolve blocking issues, are essential to support On-call Engineers. This role may involve EU or US time‑zone shifts based on business requirements. The shift timing will be 2 PM IST to 11 PM IST.  

What We Offer

• Work with some of the brightest minds in the emerging EV industry.
• Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
• Freedom to suggest, implement, and innovate on systems, processes, and technologies.
• Daily ownership in a high-growth, challenging environment.
• Flexible work environment with hybrid schedules and virtualization options.
• Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.

We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.

Key Responsibilities

• Review, validate, and optimize existing Terraform code and AWS infrastructure.
• Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
• Design, build, and support secure, scalable, and highly available AWS environments.
• Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
• Lead infrastructure testing, performance tuning, and production readiness activities.
• Drive deployment and operationalization of the platform in the Production environment.
• Implement cloud governance, security, monitoring, and FinOps best practices.
• Troubleshoot and resolve complex cloud infrastructure issues.

Required Skills & Experience

• 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
• Proven experience designing, deploying, and managing AWS production environments.
• Strong hands-on experience with Terraform and Infrastructure-as-Code.
• Experience with CI/CD pipeline automation and DevOps practices.
• Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
• Experience in performance optimization, reliability, and cloud cost management (FinOps).
• Strong scripting and automation skills.
• Experience integrating enterprise applications through APIs and secure connectivity patterns.

Devops + Python 

Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)

4-8 years /16 LPA

10+ years /26 LPA

Bangalore/Hyderabad

immediate to 15 days.