Top DevOps Engineer Jobs in Chennai

Designs, implements, and supports enterprise cloud and IT infrastructure, primarily using Microsoft Azure and DevOps technologies. Responsibilities include Kubernetes and container orchestration, infrastructure as code, CI/CD automation, cloud platform modernization, monitoring, security, networking, and database support. The role improves reliability and availability of mission-critical systems, advances DevOps practices, and collaborates with cross-functional teams while supporting secure platforms at scale.

Design, deploy, and optimize cloud-native microservices platforms. Build and maintain CI/CD pipelines, manage containerized applications with Docker/Kubernetes, implement IaC (Terraform), and configure observability stacks including Prometheus, Grafana, ELK/EFK, and tracing tools.

Design, deploy, and automate scalable hybrid cloud infrastructure across AWS and Azure using IaC (Terraform/CloudFormation/ARM/Bicep). Build CI/CD pipelines, implement observability (Prometheus, Grafana, Datadog, CloudWatch, Splunk), lead incident response and RCA, define SLIs/SLOs, enforce DevSecOps practices, manage access (IAM/Azure AD/RBAC), and collaborate with engineering teams to optimize reliability and performance.

Own the architecture, automation, security, scalability, and operation of hybrid infrastructure across on-premises datacenters and AWS. Lead hosting pipeline improvements, infrastructure design, observability, virtualization, deployment automation, and structured change management. Collaborate with engineering and product teams, communicate technical trade-offs, optimize platform reliability, and mentor hosting personnel.

Supports multi-cloud infrastructure for software, fonts, and training tools serving minority language communities. Responsibilities include administering Kubernetes, managing public and private cloud environments, monitoring system health, improving infrastructure, testing disaster recovery plans, orchestrating cloud resources, and troubleshooting with development teams. The role also provides training and requires experience with virtual servers, containers, Linux and Windows administration, scripting, cloud networking and security, infrastructure as code, and automated provisioning.

Lead and mentor the DevOps team while designing, maintaining, and improving Linux-based build and test infrastructure. Responsibilities include developing CI/CD pipelines, automating provisioning with configuration management tools, maintaining test orchestration, optimizing performance, managing updates and patches, monitoring infrastructure health, troubleshooting issues, and documenting systems and procedures.

Maintain Unix/Linux systems, build and manage CI/CD pipelines, administer artifact repositories, develop automation scripts, and support cloud and containerized environments using platforms such as AWS, Azure, Google Cloud, Docker, and Kubernetes. The role also requires familiarity with RabbitMQ and Kafka.

Designs and maintains CI/CD pipelines, AWS cloud architectures, Linux environments, and infrastructure automation. Develops Python and Shell/Bash scripts for provisioning, configuration management, system administration, and monitoring. The role focuses on improving deployment reliability, scalability, performance, security, and cost efficiency while troubleshooting network and infrastructure issues and supporting continuous improvement across technical teams.

Build and improve CI/CD pipelines, release automation, deployment workflows, infrastructure-as-code, and DevOps tooling. Triage pipeline issues, automate manual processes, maintain documentation and runbooks, support data center infrastructure, and improve platform security through hardening and credential management. Collaborate with globally distributed SRE and development teams, providing primary DevOps support during India business hours and coordinating handoffs to U.S.-based teams.

Designs and manages AWS and Azure cloud infrastructure, infrastructure-as-code, CI/CD and GitOps pipelines, containerized applications, and production Kubernetes environments. Leads platform modernization, automation, observability, security, disaster recovery, and self-service initiatives. Collaborates with engineering and quality teams, maintains operational documentation, supports distributed systems, and mentors junior DevOps engineers.

Designs and operates large-scale network automation and infrastructure-as-code platforms in a 24/7 SaaS environment. Responsibilities include building CI/CD pipelines, Network-as-Code and GitOps workflows, SDN and Kubernetes networking, routing and overlay infrastructure, automated security policies, telemetry, validation, and remediation. Serves as a senior technical authority for complex network issues while leading engineering standards, design reviews, mentoring, and cross-functional initiatives.

Develops Ansible automation and deployment workflows, supports PHP and .NET applications, administers Windows and Linux servers, and maintains IIS, Apache, and Nginx environments. Manages CI/CD pipelines, application migrations, reverse proxies, databases, monitoring, production incidents, root-cause analysis, and security hardening. Collaborates with infrastructure, security, database, development, QA, and application support teams while maintaining deployment documentation and runbooks.

Own and operate secure, highly available AWS and GCP infrastructure, MongoDB Atlas, infrastructure-as-code, Kubernetes, CI/CD, observability, and incident response. Lead a three-person DevOps team, self-host open-source tools, improve security and privacy practices, define reliability standards, automate operations, and collaborate across engineering, product, and security teams.

Design, build, and operate DevOps platforms and CI/CD pipelines; implement IaC and configuration management; embed security and quality into delivery; support cloud-native and containerized environments; mentor teams and improve software delivery reliability and cost-efficiency.

Own end-to-end software engineering initiatives from design through production. Develop and improve scalable internal applications, drive cloud and DevOps deployments, and build AI/GenAI solutions using LLMs, RAG, vector databases, and embeddings. Responsibilities include architecture, coding, code reviews, CI/CD, containerization, infrastructure automation, monitoring, observability, technical leadership, mentoring, documentation, and continuous engineering improvement.

Manage and optimize Azure DevOps and GitHub CI/CD pipelines, repositories, releases, artifacts, and environment configurations. Provision Azure resources using ARM templates, Bicep, and Terraform; enforce Azure Policies and RBAC; troubleshoot build, deployment, and production issues; and support migrations, standardization, and platform modernization. Collaborate with cross-functional teams and stakeholders to prioritize DevOps requests, deliver quality work, and maintain documentation and operational procedures.

Own integrated DevOps and MLOps infrastructure for production AI/ML systems. Build training and retraining pipelines, CI/CD workflows, model versioning, monitoring, rollback, and A/B testing. Manage Kubernetes, containers, service mesh, and hybrid cloud/on-premise infrastructure. Lead on-premise AI deployment and establish governance, qualification, documentation, explainability, robustness testing, and regulatory compliance processes for safety-critical machine learning capabilities.

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.

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.

Design, automate, and operate large-scale distributed systems. Build tooling for availability, scalability, and efficiency. Partner with engineering teams on CI/CD, monitoring, incident management, and SRE practices; participate in on-call rotations.

Designs, automates, and supports AWS cloud infrastructure and delivery pipelines for cloud-native digital products. Responsibilities include Terraform and Ansible automation, CI/CD support, AWS account and networking configuration, containerized workloads on Amazon ECS, security and monitoring alignment, troubleshooting, documentation, and collaboration with application and central cloud teams.

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.

Designs and manages scalable AWS infrastructure, including VPC, EC2, S3, RDS, Lambda, and EKS. Develops Terraform infrastructure as code, improves CI/CD and cloud-native application delivery, and implements monitoring, logging, and alerting. Leads incident response, troubleshooting, security controls, and operational improvements while mentoring junior engineers and evaluating emerging AWS technologies.

Design, build, and operate AWS and Kubernetes infrastructure powering production AI systems. Own CI/CD, infrastructure as code, GitOps, observability, secrets management, GPU workloads, model serving, reliability, security, scalability, and cost optimization. Troubleshoot production incidents, perform root-cause analysis, and develop automation using Python and Bash while collaborating across Engineering, ML/AI, Security, and Product teams.

Lead deployment, maintenance, optimization, and reliability of production applications. Architect automation, monitoring, logging, alerting, and infrastructure improvements; identify AI-driven DevOps opportunities; mentor engineers; evaluate emerging tools; and collaborate with R&D, Support, and Security teams to resolve complex infrastructure and operational issues.