Top DevOps Jobs in Chennai

Architect and develop enterprise-scale distributed systems and microservices using Java, Spring, AWS, Docker, and Kubernetes. Build event-driven architectures, optimize Oracle and distributed database performance, establish engineering standards, mentor junior engineers, conduct code reviews, and troubleshoot complex production issues. Collaborate with architects and stakeholders to deliver technical solutions, evaluate emerging technologies, and champion DevOps practices and CI/CD pipelines.

Install, configure, maintain, monitor, and troubleshoot databases; write and optimize SQL and application performance; manage backups, restores, and disaster recovery; participate in production support, incident management, DevOps collaboration, and log/error monitoring.

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

Lead design and development of scalable test automation frameworks and scripts using Selenium/TestNG with Java. Drive API and web services automation (SOAP UI), integrate suites with CI/CD tools (Jenkins, Maven, ANT), analyze results, perform feasibility studies, and collaborate with development and QA to improve coverage and automation efficiency.

Design, build, and maintain enterprise Atlassian solutions (Jira, JSM, Confluence). Translate business needs into configurations, automations, integrations, and dashboards. Integrate with M365, CI/CD, and other systems via APIs and scripting. Ensure platform stability, governance, documentation, and stakeholder collaboration while advising on platform strategy and continuous improvement.

Post-sale technical role embedding with enterprise engineering teams to deploy and scale AI-native developer workflows using Cursor. Configure environments, design workflows, run enablement, debug CI/CD and integrations, lead architecture reviews, drive adoption, and partner with Sales, Product, and Engineering to measure impact and expand usage.

Develop and optimize LLMs, evaluate model performance, integrate advanced AI technologies, lead cross-functional collaboration, and document methodologies.

Design, build, and maintain secure, scalable platform infrastructure and CI/CD pipelines. Deploy and manage cloud and container platforms, implement observability and DevSecOps practices, provide L2/L3 operational support, perform RCA, and mentor engineers to drive platform reliability, automation, and modernization initiatives.

Create high-quality, customer-focused technical documentation for complex broadband/fixed-network products. Independently manage documentation schedules and team efforts, collaborate with PLM/R&D/Test to gather technical content, and deliver web-based publications using AsciiDoc/XML/Markdown and tools like Arbortext/Oxygen. Align documentation with SDLC/DDLC, structured writing principles, Agile and DevOps workflows, single-sourcing practices, and use Jira/Confluence/GitHub for content lifecycle management.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

Provide Salesforce administration and development support across Sales, Marketing Cloud, and Pardot. Maintain platform governance, data integrity, integrations, and build declarative and programmatic solutions (Apex, LWC). Configure Service and Experience Cloud features, design API integrations, manage cross-cloud journeys, and support data migrations, SLAs, and release management.

As a Community Engineer at Canonical, you will lead community initiatives, support volunteers, and enhance community contributions to Ubuntu, using technical and organizational skills.

Support production operations and enable new projects in GCP: manage deployments, CI/CD pipelines, IaC (Terraform/Deployment Manager), GKE and container orchestration, monitoring/alerting, incident response, security best practices, runbooks, and on-call support while collaborating with dev/QA/product teams.

Provide L2 application support for People, SGDIR and IGG applications. Manage incidents and problems per ITIL, monitor and troubleshoot tickets using SQL and Excel, and use Informatica and DevOps knowledge to debug and fix minor issues to ensure smooth operations.

Design, build and deploy AI workflows using Azure AI, Copilot Studio and Microsoft Fabric; integrate solutions with SAP and Salesforce; own end-to-end delivery, DevOps/MLOps/AIOps practices, governance, monitoring, and stakeholder adoption; provide technical leadership and reusable patterns to scale AI adoption across the business.

Operate and improve production data infrastructure across large-scale distributed cloud systems. Monitor performance, manage alerts, respond to incidents, perform root cause analysis, automate repetitive tasks, support CI/CD pipelines, document runbooks, and assist with capacity planning. The role requires participation in an on-call rotation and collaboration with Engineering to maintain reliability, efficiency, and uptime.

Lead Level 3 application support for cloud and on-prem Digital Solutions: own incident resolution, perform deep diagnostics and root cause analysis, collaborate with DevOps/Engineering/Product teams to improve platform stability, monitor system health, and enforce IT service delivery processes.

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.

Provide global ITIL subject-matter expertise to support business development, product, marketing and partner enablement. Engage clients, deliver webinars and events, support sales enablement and drive ITIL ecosystem growth and brand awareness.

Design, build, and operate cloud infrastructure (primarily GCP, some AWS) using Terraform IaC. Manage Kubernetes (GKE/EKS), CI/CD pipelines, automation (Ansible, SaltStack), monitoring (Datadog, Splunk), scripting (Python/Bash), and enforce cloud security and compliance while supporting production and incident response.

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 scalable CI/CD pipelines and infrastructure-as-code. Automate build, test, and deployment processes, develop Jenkins pipeline scripts (Groovy/Java), support developers, monitor and optimize pipeline performance, ensure DevSecOps/security best practices, and document configurations while evaluating new tools.

Lead DevOps engineer responsible for designing, implementing and maintaining Azure-based CI/CD pipelines (web and mobile), infrastructure (AKS, KeyVault), monitoring, release management, automation, and zero-downtime deployments while collaborating with Scrum teams to resolve environment issues and improve reliability.

Lead cloud platform automation and DevOps for Azure: estimate work, design and implement infrastructure and CI/CD/DevSecOps pipelines, automate deployments with IaC (Terraform), containerize apps (Docker, Kubernetes), mentor engineers, and act as SME across global 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.