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ROLE & RESPONSIBILITIES:
We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.
KEY RESPONSIBILITIES:
1. Cloud Security (AWS)-
- Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
- Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
- Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
- Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
- Ensure encryption of data at rest/in transit across all cloud services.
2. DevOps Security (IaC, CI/CD, Kubernetes, Linux)-
Infrastructure as Code & Automation Security:
- Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
- Enforce misconfiguration scanning and automated remediation.
CI/CD Security:
- Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
- Implement secure build, artifact signing, and deployment workflows.
Containers & Kubernetes:
- Harden Docker images, private registries, runtime policies.
- Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
- Apply CIS Benchmarks for Kubernetes and Linux.
Monitoring & Reliability:
- Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
- Ensure audit logging across cloud/platform layers.
3. MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-
Pipeline & Workflow Security:
- Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
- Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.
ML Platform Security:
- Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
- Control model access, artifact protection, model registry security, and ML metadata integrity.
Data Security:
- Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
- Enforce data versioning security, lineage tracking, PII protection, and access governance.
ML Observability:
- Implement drift detection (data drift/model drift), feature monitoring, audit logging.
- Integrate ML monitoring with Grafana/Prometheus/CloudWatch.
4. Network & Endpoint Security-
- Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
- Conduct vulnerability assessments, penetration test coordination, and network segmentation.
- Secure remote workforce connectivity and internal office networks.
5. Threat Detection, Incident Response & Compliance-
- Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
- Build security alerts, automated threat detection, and incident workflows.
- Lead incident containment, forensics, RCA, and remediation.
- Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
- Maintain security policies, procedures, RRPs (Runbooks), and audits.
IDEAL CANDIDATE:
- 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
- Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
- Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
- Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
- Strong Linux security (CIS hardening, auditing, intrusion detection).
- Proficiency in Python, Bash, and automation/scripting.
- Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
- Understanding of microservices, API security, serverless security.
- Strong understanding of vulnerability management, penetration testing practices, and remediation plans.
EDUCATION:
- Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
- Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.
PERKS, BENEFITS AND WORK CULTURE:
- Competitive Salary Package
- Generous Leave Policy
- Flexible Working Hours
- Performance-Based Bonuses
- Health Care Benefits
Role - IT Cloud Engineer/ Devops
- Proficient in Linux.
- Hands on experience with AWS cloud or Google Cloud.
- Knowledge of container technology like Docker.
- Expertise in scripting languages. (Shell scripting or Python scripting)
- Working knowledge of LAMP/LEMP stack, networking and version control system like Gitlab or Github.
Job Description:
The incumbent would be responsible for:
- Deployment of various infrastructures on Cloud platforms like AWS, GCP, Azure, OVH etc.
- Server monitoring, analysis and troubleshooting.
- Deploying multi-tier architectures using microservices.
- Integration of Container technologies like Docker, Kubernetes etc as per application requirement.
- Automating workflow with python or shell scripting.
- CI and CD integration for application lifecycle management.
- Hosting and managing websites on Linux machines.
- Frontend, backend and database optimization.
- Protecting operations by keeping information confidential.
- Providing information by collecting, analyzing, summarizing development & service issues.
- Prepares & installs solutions by determining and designing system specifications, standards & programming.
REVIEW CRITERIA:
MANDATORY:
- Strong Senior/Lead DevOps Engineer Profile
- Must have 8+ years of hands-on experience in DevOps engineering, with a strong focus on AWS cloud infrastructure and services (EC2, VPC, EKS, RDS, Lambda, CloudFront, etc.).
- Must have strong system administration expertise (installation, tuning, troubleshooting, security hardening)
- Must have solid experience in CI/CD pipeline setup and automation using tools such as Jenkins, GitHub Actions, or similar
- Must have hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
- Must have strong database expertise across MongoDB and Snowflake (administration, performance optimization, integrations)
- Must have experience with monitoring and observability tools such as Prometheus, Grafana, ELK, CloudWatch, or Datadog
- Must have good exposure to containerization and orchestration using Docker and Kubernetes (EKS)
- Must be currently working in an AWS-based environment (AWS experience must be in the current organization)
- Its an IC role
PREFERRED:
- Must be proficient in scripting languages (Bash, Python) for automation and operational tasks.
- Must have strong understanding of security best practices, IAM, WAF, and GuardDuty configurations.
- Exposure to DevSecOps and end-to-end automation of deployments, provisioning, and monitoring.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
- Candidates from NCR region only (No outstation candidates).
ROLES AND RESPONSIBILITIES:
We are seeking a highly skilled Senior DevOps Engineer with 8+ years of hands-on experience in designing, automating, and optimizing cloud-native solutions on AWS. AWS and Linux expertise are mandatory. The ideal candidate will have strong experience across databases, automation, CI/CD, containers, and observability, with the ability to build and scale secure, reliable cloud environments.
KEY RESPONSIBILITIES:
Cloud & Infrastructure as Code (IaC)-
- Architect and manage AWS environments ensuring scalability, security, and high availability.
- Implement infrastructure automation using Terraform, CloudFormation, and Ansible.
- Configure VPC Peering, Transit Gateway, and PrivateLink/Connect for advanced networking.
CI/CD & Automation:
- Build and maintain CI/CD pipelines (Jenkins, GitHub, SonarQube, automated testing).
- Automate deployments, provisioning, and monitoring across environments.
Containers & Orchestration:
- Deploy and operate workloads on Docker and Kubernetes (EKS).
- Implement IAM Roles for Service Accounts (IRSA) for secure pod-level access.
- Optimize performance of containerized and microservices applications.
Monitoring & Reliability:
- Implement observability with Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
- Establish logging, alerting, and proactive monitoring for high availability.
Security & Compliance:
- Apply AWS security best practices including IAM, IRSA, SSO, and role-based access control.
- Manage WAF, Guard Duty, Inspector, and other AWS-native security tools.
- Configure VPNs, firewalls, and secure access policies and AWS organizations.
Databases & Analytics:
- Must have expertise in MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
- Manage data reliability, performance tuning, and cloud-native integrations.
- Experience with Apache Airflow and Spark.
IDEAL CANDIDATE:
- 8+ years in DevOps engineering, with strong AWS Cloud expertise (EC2, VPC, TG, RDS, S3, IAM, EKS, EMR, SCP, MWAA, Lambda, CloudFront, SNS, SES etc.).
- Linux expertise is mandatory (system administration, tuning, troubleshooting, CIS hardening etc).
- Strong knowledge of databases: MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
- Hands-on with Docker, Kubernetes (EKS), Terraform, CloudFormation, Ansible.
- Proven ability with CI/CD pipeline automation and DevSecOps practices.
- Practical experience with VPC Peering, Transit Gateway, WAF, Guard Duty, Inspector and advanced AWS networking and security tools.
- Expertise in observability tools: Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
- Strong scripting skills (Shell/bash, Python, or similar) for automation.
- Bachelor / Master’s degree
- Effective communication skills
PERKS, BENEFITS AND WORK CULTURE:
- Competitive Salary Package
- Generous Leave Policy
- Flexible Working Hours
- Performance-Based Bonuses
- Health Care Benefits

Global Digital Transformation Solutions Provider
JOB DETAILS:
* Job Title: Specialist I - DevOps Engineering
* Industry: Global Digital Transformation Solutions Provider
* Salary: Best in Industry
* Experience: 7-10 years
* Location: Bengaluru (Bangalore), Chennai, Hyderabad, Kochi (Cochin), Noida, Pune, Thiruvananthapuram
Job Description
Job Summary:
As a DevOps Engineer focused on Perforce to GitHub migration, you will be responsible for executing seamless and large-scale source control migrations. You must be proficient with GitHub Enterprise and Perforce, possess strong scripting skills (Python/Shell), and have a deep understanding of version control concepts.
The ideal candidate is a self-starter, a problem-solver, and thrives on challenges while ensuring smooth transitions with minimal disruption to development workflows.
Key Responsibilities:
- Analyze and prepare Perforce repositories — clean workspaces, merge streams, and remove unnecessary files.
- Handle large files efficiently using Git Large File Storage (LFS) for files exceeding GitHub’s 100MB size limit.
- Use git-p4 fusion (Python-based tool) to clone and migrate Perforce repositories incrementally, ensuring data integrity.
- Define migration scope — determine how much history to migrate and plan the repository structure.
- Manage branch renaming and repository organization for optimized post-migration workflows.
- Collaborate with development teams to determine migration points and finalize migration strategies.
- Troubleshoot issues related to file sizes, Python compatibility, network connectivity, or permissions during migration.
Required Qualifications:
- Strong knowledge of Git/GitHub and preferably Perforce (Helix Core) — understanding of differences, workflows, and integrations.
- Hands-on experience with P4-Fusion.
- Familiarity with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
- Proficiency in migration tools such as git-p4 fusion — installation, configuration, and troubleshooting.
- Ability to identify and manage large files using Git LFS to meet GitHub repository size limits.
- Strong scripting skills in Python and Shell for automating migration and restructuring tasks.
- Experience in planning and executing source control migrations — defining scope, branch mapping, history retention, and permission translation.
- Familiarity with CI/CD pipeline integration to validate workflows post-migration.
- Understanding of source code management (SCM) best practices, including version history and repository organization in GitHub.
- Excellent communication and collaboration skills for cross-team coordination and migration planning.
- Proven practical experience in repository migration, large file management, and history preservation during Perforce to GitHub transitions.
Skills: Github, Kubernetes, Perforce, Perforce (Helix Core), Devops Tools
Must-Haves
Git/GitHub (advanced), Perforce (Helix Core) (advanced), Python/Shell scripting (strong), P4-Fusion (hands-on experience), Git LFS (proficient)
We seek a skilled and motivated Azure DevOps engineer to join our dynamic team. The ideal candidate will design, implement, and manage CI/CD pipelines, automate deployments, and optimize cloud infrastructure using Azure DevOps tools and services. You will collaborate closely with development and IT teams to ensure seamless integration and delivery of software solutions in a fast-paced environment.
Responsibilities:
- Design, implement, and manage CI/CD pipelines using Azure DevOps.
- Automate infrastructure provisioning and deployments using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Azure CLI.
- Monitor and optimize Azure environments to ensure high availability, performance, and security.
- Collaborate with development, QA, and IT teams to streamline the software development lifecycle (SDLC).
- Troubleshoot and resolve issues related to build, deployment, and infrastructure.
- Implement and manage version control systems, primarily using Git.
- Manage containerization and orchestration using tools like Docker and Kubernetes.
- Ensure compliance with industry standards and best practices for security, scalability, and reliability.
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for backend, frontend, and mobile applications.
- Manage cloud infrastructure using AWS (EC2, Lambda, S3, VPC, RDS, CloudWatch, ECS/EKS).
- Configure and maintain Docker containers and/or Kubernetes clusters.
- Implement and maintain Infrastructure as Code (IaC) using Terraform / CloudFormation.
- Automate build, deployment, and monitoring processes.
- Manage code repositories using Git/GitHub/GitLab, enforce branching strategies.
- Implement monitoring and alerting using tools like Prometheus, Grafana, CloudWatch, ELK, Splunk.
- Ensure system scalability, reliability, and security.
- Troubleshoot production issues and perform root-cause analysis.
- Collaborate with engineering teams to improve deployment and development workflows.
- Optimize infrastructure costs and improve performance.
Required Skills & Qualifications
- 3+ years of experience in DevOps, SRE, or Cloud Engineering.
- Strong hands-on knowledge of AWS cloud services.
- Experience with Docker, containers, and orchestrators (ECS, EKS, Kubernetes).
- Strong understanding of CI/CD tools: GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline.
- Experience with Linux administration and shell scripting.
- Strong understanding of Networking, VPC, DNS, Load Balancers, Security Groups.
- Experience with monitoring/logging tools: CloudWatch, ELK, Prometheus, Grafana.
- Experience with Terraform or CloudFormation (IaC).
- Good understanding of Node.js or similar application deployments.
- Knowledge of NGINX/Apache and load balancing concepts.
- Strong problem-solving and communication skills.
Preferred/Good to Have
- Experience with Kubernetes (EKS).
- Experience with Serverless architectures (Lambda).
- Experience with Redis, MongoDB, RDS.
- Certification in AWS Solutions Architect / DevOps Engineer.
- Experience with security best practices, IAM policies, and DevSecOps.
- Understanding of cost optimization and cloud cost management.
- Minimum 3+ yrs of Experience in DevOps with AWS Platform
- • Strong AWS knowledge and experience
- • Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)
- • Experience with IAC tools Terraform
- • Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)
- • Significant experience with Linux operating system environments
- • Experience with infrastructure scripting solutions such as Python/Shell scripting
- • Must have experience in designing Infrastructure automation framework.
- • Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)
- • Excellent problem-solving, Log Analysis and troubleshooting skills
- • Experience in setting up centralized logging for system (EKS, EC2) and application
- • Process-oriented with great documentation skills
- • Ability to work effectively within a team and with minimal supervision
As a DevOps Engineer, you’ll play a key role in managing our cloud infrastructure, automating deployments, and ensuring high availability across our global server network. You’ll work closely with our technical team to optimize performance and scalability.
Responsibilities
✅ Design, implement, and manage cloud infrastructure (primarily Azure)
✅ Automate deployments using CI/CD pipelines (GitHub Actions, Jenkins, or equivalent)
✅ Monitor and optimize server performance & uptime (100% uptime goal)
✅ Work with cPanel-based hosting environments and ensure seamless operation
✅ Implement security best practices & compliance measures
✅ Troubleshoot system issues, scale infrastructure, and enhance reliability
Requirements
🔹 3-7 years of DevOps experience in cloud environments (Azure preferred)
🔹 Hands-on expertise in CI/CD tools (GitHub Actions, Jenkins, etc.)
🔹 Proficiency in Terraform, Ansible, Docker, Kubernetes
🔹 Strong knowledge of Linux system administration & networking
🔹 Experience with monitoring tools (Prometheus, Grafana, ELK, etc.)
🔹 Security-first mindset & automation-driven approach
Why Join Us?
🚀 Work at a fast-growing startup backed by Microsoft
💡 Lead high-impact DevOps projects in a cloud-native environment
🌍 Hybrid work model with flexibility in Bangalore, Delhi, or Mumbai
💰 Competitive salary ₹12-30 LPA based on experience
How to Apply?
📩 Apply now & follow us for future updates:
🔗 X (Twitter): https://x.com/CygenHost
🔗 LinkedIn: https://www.linkedin.com/company/cygen-host/
🔗 Instagram: https://www.instagram.com/cygenhost
Would you like any modifications before posting this? Or should I move on to the next role? 🚀
The candidate must have 2-3 years of experience in the domain. The responsibilities include:
● Deploying system on Linux-based environment using Docker
● Manage & maintain the production environment
● Deploy updates and fixes
● Provide Level 1 technical support
● Build tools to reduce occurrences of errors and improve customer experience
● Develop software to integrate with internal back-end systems
● Perform root cause analysis for production errors
● Investigate and resolve technical issues
● Develop scripts to automate visualization
● Design procedures for system troubleshooting and maintenance
● Experience working on Linux-based infrastructure
● Excellent understanding of MERN Stack, Docker & Nginx (Good to have Node Js)
● Configuration and managing databases such as Mongo
● Excellent troubleshooting
● Experience of working with AWS/Azure/GCP
● Working knowledge of various tools, open-source technologies, and cloud services
● Awareness of critical concepts in DevOps and Agile principles
● Experience of CI/CD Pipeline
About Us -Celebal Technologies is a premier software services company in the field of Data Science, Big Data and Enterprise Cloud. Celebal Technologies helps you to discover the competitive advantage by employing intelligent data solutions using cutting-edge technology solutions that can bring massive value to your organization. The core offerings are around "Data to Intelligence", wherein we leverage data to extract intelligence and patterns thereby facilitating smarter and quicker decision making for clients. With Celebal Technologies, who understands the core value of modern analytics over the enterprise, we help the business in improving business intelligence and more data-driven in architecting solutions.
Key Responsibilities
• As a part of the DevOps team, you will be responsible for configuration, optimization, documentation, and support of the CI/CD components.
• Creating and managing build and release pipelines with Azure DevOps and Jenkins.
• Assist in planning and reviewing application architecture and design to promote an efficient deployment process.
• Troubleshoot server performance issues & handle the continuous integration system.
• Automate infrastructure provisioning using ARM Templates and Terraform.
• Monitor and Support deployment, Cloud-based and On-premises Infrastructure.
• Diagnose and develop root cause solutions for failures and performance issues in the production environment.
• Deploy and manage Infrastructure for production applications
• Configure security best practices for application and infrastructure
Essential Requirements
• Good hands-on experience with cloud platforms like Azure, AWS & GCP. (Preferably Azure)
• Strong knowledge of CI/CD principles.
• Strong work experience with CI/CD implementation tools like Azure DevOps, Team city, Octopus Deploy, AWS Code Deploy, and Jenkins.
• Experience of writing automation scripts with PowerShell, Bash, Python, etc.
• GitHub, JIRA, Confluence, and Continuous Integration (CI) system.
• Understanding of secure DevOps practices
Good to Have -
• Knowledge of scripting languages such as PowerShell, Bash
• Experience with project management and workflow tools such as Agile, Jira, Scrum/Kanban, etc.
• Experience with Build technologies and cloud services. (Jenkins, TeamCity, Azure DevOps, Bamboo, AWS Code Deploy)
• Strong communication skills and ability to explain protocol and processes with team and management.
• Must be able to handle multiple tasks and adapt to a constantly changing environment.
• Must have a good understanding of SDLC.
• Knowledge of Linux, Windows server, Monitoring tools, and Shell scripting.
• Self-motivated; demonstrating the ability to achieve in technologies with minimal supervision.
• Organized, flexible, and analytical ability to solve problems creatively.
We are looking for an excellent experienced person in the Dev-Ops field. Be a part of a vibrant, rapidly growing tech enterprise with a great working environment. As a DevOps Engineer, you will be responsible for managing and building upon the infrastructure that supports our data intelligence platform. You'll also be involved in building tools and establishing processes to empower developers to
deploy and release their code seamlessly.
Responsibilities
The ideal DevOps Engineers possess a solid understanding of system internals and distributed systems.
Understanding accessibility and security compliance (Depending on the specific project)
User authentication and authorization between multiple systems,
servers, and environments
Integration of multiple data sources and databases into one system
Understanding fundamental design principles behind a scalable
application
Configuration management tools (Ansible/Chef/Puppet), Cloud
Service Providers (AWS/DigitalOcean), Docker+Kubernetes ecosystem is a plus.
Should be able to make key decisions for our infrastructure,
networking and security.
Manipulation of shell scripts during migration and DB connection.
Monitor Production Server Health of different parameters (CPU Load, Physical Memory, Swap Memory and Setup Monitoring tool to
Monitor Production Servers Health, Nagios
Created Alerts and configured monitoring of specified metrics to
manage their cloud infrastructure efficiently.
Setup/Managing VPC, Subnets; make connection between different zones; blocking suspicious ip/subnet via ACL.
Creating/Managing AMI/Snapshots/Volumes, Upgrade/downgrade
AWS resources (CPU, Memory, EBS)
The candidate would be Responsible for managing microservices at scale maintain the compute and storage infrastructure for various product teams.
Strong Knowledge about Configuration Management Tools like –
Ansible, Chef, Puppet
Extensively worked with Change tracking tools like JIRA and log
Analysis, Maintaining documents of production server error log's
reports.
Experienced in Troubleshooting, Backup, and Recovery
Excellent Knowledge of Cloud Service Providers like – AWS, Digital
Ocean
Good Knowledge about Docker, Kubernetes eco-system.
Proficient understanding of code versioning tools, such as Git
Must have experience working in an automated environment.
Good knowledge of Amazon Web Service Architects like – Amazon EC2, Amazon S3 (Amazon Glacier), Amazon VPC, Amazon Cloud Watch.
Scheduling jobs using crontab, Create SWAP Memory
Proficient Knowledge about Access Management (IAM)
Must have expertise in Maven, Jenkins, Chef, SVN, GitHub, Tomcat, Linux, etc.
Candidate Should have good knowledge about GCP.
EducationalQualifications
B-Tech-IT/M-Tech -/MBA- IT/ BCA /MCA or any degree in the relevant field
EXPERIENCE: 2-6 yr







