Top DevOps Engineer Jobs in Chennai

Designs, builds, tests, and maintains AWS and on-premises DevOps infrastructure and CI/CD pipelines. Automates development and production deployments, improves pipeline performance, and supports internal development teams. Responsibilities include containerization, infrastructure as code, monitoring, logging, scaling, security, and collaboration across infrastructure and development teams. The role also promotes DevOps and Agile practices while deploying services for internal clients.

Supports Azure Integration Services deployments, CI/CD pipelines, infrastructure-as-code, monitoring, troubleshooting, security, and operational documentation across multiple environments. Works with Logic Apps, API Management, Service Bus, Functions, Bicep, Azure DevOps, containers, and Kubernetes. Contributes to incident resolution, automation, Agile ceremonies, compliance, and platform reliability while collaborating with development and technical teams.

Designs and implements DevOps solutions across the software development lifecycle, improving deployment reliability, scalability, performance, and cost efficiency. Leads automation, infrastructure architecture, reusable modules, CI/CD, cloud platform adoption, observability, SRE, governance, and DevSecOps practices. Collaborates with product, platform, and business stakeholders to establish DevOps strategy and secure adoption within a regulated banking environment.

Lead the transformation from DevOps to DevSecOps across a large-scale eCommerce platform. Build and manage CI/CD pipelines, containerized applications, infrastructure automation, and cloud environments across Azure and Google Cloud. Ensure system reliability through monitoring, logging, alerting, and production troubleshooting. Collaborate with cross-functional teams, improve engineering practices, provide technical leadership, and mentor junior engineers.

Designs, automates, and scales infrastructure, systems, CI/CD pipelines, and services supporting software products. Integrates AI capabilities into DevOps workflows, manages cloud infrastructure with Infrastructure as Code, operates containerized applications, and develops automation scripts. Collaborates with software, quality, and infrastructure teams to improve delivery reliability and productivity. Participates in incident response, root cause analysis, platform modernization, architecture discussions, and engineering standardization.

Builds and supports CI/CD pipelines, AWS infrastructure, Terraform configurations, Ansible automation, Docker containers, Kubernetes workloads, and monitoring solutions. Troubleshoots infrastructure, deployment, networking, and application issues across multiple environments; automates repetitive operational tasks; supports engineering teams with reusable DevOps solutions and developer self-service capabilities. The role also participates in incident response, root cause analysis, documentation, peer reviews, on-call support, and knowledge sharing.

Designs and operates large-scale network infrastructure in a 24/7 SaaS environment. Leads Network-as-Code, GitOps, CI/CD, infrastructure automation, Kubernetes and SDN networking, routing, security policy, load balancing, telemetry, and automated validation. Serves as a Tier 4 technical authority for complex network issues, drives resilient multi-region deployments, mentors engineers, and leads cross-functional architecture initiatives.

Designs and manages end-to-end DevOps pipelines and cloud infrastructure on GCP. Builds Azure DevOps CI/CD workflows, manages production environments, and deploys scalable containerized applications using Docker, Kubernetes, and Terraform. Responsibilities include IAM, networking, API gateways, monitoring, logging, troubleshooting, high availability, and distributed systems. Supports AI agents, AI/ML pipelines, LLM configuration, model deployment, inference workflows, and Google AI Studio environments while collaborating with development and AI/ML teams.

Own end-to-end data platform architecture and implementation, including ingestion, lakehouse and warehouse layers, transformations, dimensional and semantic models, governance, access controls, and analytics delivery. Build and deploy Spark and SQL pipelines, data models, and integrations across databases, SaaS applications, APIs, files, and legacy systems. Select and implement Databricks, Microsoft Fabric, or both based on client requirements, while applying CI/CD, testing, and version control practices.

Design, build, and deploy event-driven automations to eliminate operational runbook toil. Operate and support production databases and streaming platforms, participate in on-call rotation, implement least-privilege IAM and auditability, and lead automation roadmap across data infrastructure.

Build and maintain CI/CD pipelines, deploy and scale Kubernetes workloads, manage AWS cloud infrastructure, and automate provisioning with Terraform or OpenTofu. Develop monitoring, alerting, dashboards, and observability workflows using Grafana and related tools. Troubleshoot infrastructure, networking, application, and production issues while improving reliability, scalability, security, and deployment efficiency. Collaborate with developers to enhance deployment workflows and automate repetitive operational tasks.

Develop infrastructure-as-code and automation to migrate repository configurations from Gerrit to GitLab, integrate GitLab APIs, and connect webhooks to Jenkins pipelines. Build and maintain proxy or translation services, execute bulk repository reconfiguration, monitor service health, and troubleshoot CI/CD integration failures.

The role involves managing CI/CD pipelines, automating Azure services, performing PowerShell scripting, and troubleshooting Kubernetes environments as a Senior Azure DevOps Engineer.

Build, maintain, and scale CI/CD pipelines; manage containerized applications with Docker and Kubernetes; provision cloud infrastructure using IaC tools; deploy and monitor Azure and Google Cloud environments; automate tasks with Groovy, Python, and Shell; troubleshoot reliability issues; and improve monitoring, logging, alerting, and DevOps practices.

Designs and evolves an Azure-based observability and data quality platform. Builds reliable, automated infrastructure using IaC, CI/CD, Python, and Shell scripting; integrates AKS, Kafka, Databricks, Flink, Fivetran, and Azure SQL Server; develops monitoring and dashboards with Grafana, Prometheus, Power BI, or Databricks; applies SRE and FinOps practices to improve reliability, performance, data quality, incident response, compliance, and cloud cost efficiency.

Build, manage, and optimize on-premises VMware and AWS test infrastructure. Provision reproducible environments with Terraform, automate setup and teardown, optimize resource usage and costs, execute functional and integration tests, and integrate workflows with Jenkins CI/CD pipelines. Troubleshoot test failures, support release hardening, and collaborate with QA and engineering teams to improve reliability, scalability, and test coverage.

Install, configure, and manage operating systems and Azure services for mission-critical client environments. Build scalable, auto-scaled infrastructure using automation and configuration management. Troubleshoot complex technical issues, manage problems, communicate with clients, and participate in 24/7 on-call support. Continuously improve processes, maintain Azure expertise, and support team development.

Support development and CI/CD processes for product deployment while enhancing system performance, security and operations through automation and infrastructure management.

Design, implement and scale AWS environments using Terraform; build and maintain CI/CD pipelines, observability and monitoring (ELK, Grafana, CloudWatch); apply SRE practices for performance and availability; manage incidents/changes and perform RCA; mentor team members and coordinate with product stakeholders; support out-of-hours as needed.

Design, build, and maintain CI/CD pipelines and infrastructure across GCP and AWS. Containerize applications with Docker and run production Kubernetes. Implement monitoring, logging, alerting, incident response, documentation, and cost management.

Design, implement, and manage CI/CD pipelines and automated, secure cloud infrastructure (Azure preferred). Manage containers (Docker/Kubernetes), IaC (Terraform/ARM/CloudFormation), monitoring, version control, and production deployments while collaborating with development and QA teams.

Design, implement, and maintain AWS infrastructure using Terraform. Develop Terraform modules to provision AWS services, automate tasks with scripting, optimize configurations for cost/performance/security, and collaborate with cross-functional teams. Maintain documentation and enforce security/compliance best practices.

Develop and maintain processing infrastructure and web tools, design and troubleshoot data-processing workflows, collaborate to connect front-end systems to back-end APIs, assist API planning and database management, and use source control and CI/CD practices.

Design, build, and maintain AWS-based infrastructure and DevOps pipelines; automate deployments, CI/CD, monitoring, and incident response; collaborate with development teams to ensure reliable, scalable production systems.

Design, implement, and maintain AWS-based CI/CD solutions using Jenkins. Manage build environments, operating systems, software, and multiple AWS accounts. Collaborate across teams to develop DevOps solutions, promote agile practices, and troubleshoot CI and production issues. The role also involves applying AI tools, coding assistants, agents, MCPs, and agentic SDLC practices to improve testing, troubleshooting, and workflows.