Top DevOps Jobs in Chennai

Leads DevOps and application development for Citi’s equity derivatives pre-trade platform. Responsibilities include modernizing legacy systems, implementing DevOps and Agile practices, managing development and infrastructure support, overseeing testing and implementation, improving security and operational standards, advising stakeholders, and mentoring analysts. The role requires expertise in Ansible, PowerShell, Terraform, Kubernetes, containers, databases, messaging, observability tools, and scripting, with opportunities to work with Kotlin and modern platform technologies.

Leads DevOps strategy and execution across development, QA, and production environments. Builds CI/CD pipelines, manages infrastructure as code, administers container orchestration platforms, and improves system reliability, scalability, security, and performance across cloud and on-premises environments. Collaborates with engineering and operations teams, troubleshoots deployment issues, ensures governance compliance, and mentors junior engineers.

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.

Develop and maintain in-house and new software applications using .NET, Angular, Azure, Java, and modern integration patterns. Own development topics from requirements through deployment and support, create technical documentation, develop automated tests, participate in code reviews, and collaborate with business users, architects, product owners, and global IT teams. Mentor developers and promote secure, scalable, reusable solutions and continuous improvement.

Owns highly available AWS and EKS platforms, CI/CD pipelines, infrastructure as code, observability, incident response, reliability engineering, and security operations. The role designs resilient cloud environments, manages Kubernetes and Docker workloads, automates delivery and operations, leads major-incident response, establishes SLOs, and coordinates vulnerability remediation. It also mentors engineers and improves production readiness, disaster recovery, and operational efficiency.

Own AWS infrastructure, CI/CD, infrastructure-as-code, observability, security, cost optimization, containerization, backup and disaster recovery. Lead incident response, create operational documentation, and mentor engineers on monitoring and operational practices. The role requires architectural decision-making, reliable deployments, cloud cost management, and collaboration with distributed engineering teams working across U.S. time zones.

Designs, implements, supports, upgrades, and optimizes middleware and systems infrastructure using IBM DataPower or IBM MQ. Responsibilities include high-availability configuration, virtualization, storage, data protection, automation, patching, disaster recovery planning, vulnerability remediation, monitoring, capacity reporting, and systems management. The role also mentors technical staff, manages multiple projects, and supports 24/7 rotational operations.

Develop and maintain scalable, multi-process Python software for IT monitoring. Responsibilities include refining requirements, implementing features in Python, PHP, and MySQL, troubleshooting performance issues, writing unit tests, reviewing code, demonstrating functionality, and contributing to reliable, high-performance systems. The role also involves working with Product Management and applying CI/CD, DevOps, Agile, and software lifecycle practices.

Build scalable fullstack systems for generative AI applications, with a strong backend focus. Responsibilities include designing APIs, microservices, data pipelines, databases, caching, security, monitoring, and low-latency inference infrastructure. Develop intuitive frontend interfaces, integrate ML training and serving pipelines, optimize high-throughput media processing, and collaborate cross-functionally with ML, product, research, and creative teams. The role also involves setting engineering standards, communicating with stakeholders, and mentoring peers.

Build and improve reliable, scalable distributed content delivery systems. Define SLIs and SLOs, enhance monitoring and alerting, analyze performance data, resolve complex incidents, automate operational tasks, and participate in architecture reviews. The role requires scripting, Oracle SQL analysis, Unix/Linux expertise, and experience with observability tools including Prometheus, Grafana, ADBMS, and Datadog. Collaboration with product and cross-functional teams is central to ensuring high availability, performance, and resilience.

Build, test, debug, and deploy production-quality software for client application modernization engagements. Own features and small workstreams, create technical designs, participate in code reviews, apply testing and security practices, and use AI-assisted development tools across the software lifecycle. Collaborate with client stakeholders, present technical work, manage risks, and coach junior consultants across web, mobile, API, integration, and cloud-native projects.

Develop scalable full-stack web applications using React.js, Java, Spring Boot, MongoDB, AWS, and Azure. Build RESTful APIs, optimize databases, deploy and monitor cloud applications, maintain CI/CD pipelines, and apply DevOps, security, testing, and code-quality practices. Collaborate with cross-functional Agile/Scrum teams and use containerization, infrastructure-as-code, and AI coding tools to improve delivery.

Designs, writes, edits, illustrates, and publishes technical documentation and user guides for complex optical networking products and systems. Manages documentation schedules, collaborates with product, R&D, and testing teams, creates API documentation, and maintains reusable structured content. Uses XML authoring, graphic editing, content management, defect tracking, Agile, and DevOps tools to deliver accurate web-based documentation for internal and external users.

The DevOps Engineer III designs and operates cloud-native platforms, CI/CD and GitOps workflows, Kubernetes environments, reusable Terraform/OpenTofu infrastructure, and engineering automation. Responsibilities include AWS infrastructure implementation, observability, complex troubleshooting, reliability improvements, AI-enabled automation, developer self-service, and platform enablement. The role mentors engineers, leads technical workstreams, contributes to design decisions, and participates in operational readiness and on-call activities.

Lead DevOps engineering as an individual contributor, designing multi-stage CI/CD pipelines, managing source-control repositories, and deploying containerized applications. Maintain and troubleshoot production Azure Kubernetes Service clusters, provision Azure infrastructure through infrastructure-as-code tools, and automate operational tasks using Python, shell, or PowerShell scripting. Apply current AI tools to DevOps workflows.

Provides enterprise-level architectural and technical leadership for cloud and platform engineering across AWS and Azure. Defines standards and reusable patterns for Terraform/OpenTofu, GitOps, Kubernetes, CI/CD, automation, governance, observability, security, reliability, FinOps, and developer self-service. Leads cross-team initiatives, architecture reviews, platform modernization, and AI-enabled DevOps capabilities while mentoring engineers and influencing technical direction as a senior individual contributor.

Develop and maintain scalable C/C++ agents for Windows and Linux that collect, manipulate, and monitor host data. Lead requirements reviews, architecture decisions, feature implementation, defect resolution, code reviews, and feature demonstrations. The role involves remote patch deployment, REST integrations, multithreaded software, MySQL development, distributed systems, CI/CD, DevOps, and reviewing AI-generated code while ensuring performance, reliability, and maintainability.

Advises clients and delivery partners throughout Fluent Commerce OMS implementations, from discovery and requirements gathering through solution design, testing, audits, and go-live. Leads workshops, backlog and user story development, solution scoping, estimation, risk analysis, and best-practice adoption. Collaborates with Product, Engineering, Expert Services, and partner teams while coaching business analysts and contributing to roadmap feedback and service improvements. Uses generative AI tools for research, reporting, automation, and exploratory tool development.

Lead DevOps Engineer responsible for managing DevOps pipelines across internal and customer environments, conducting DevSecOps research, automating and optimizing infrastructure, reducing costs, maintaining environments, and supporting onsite implementation teams. The role requires AWS, Kubernetes, Docker, CI/CD, Terraform, security testing, observability, database, scripting, and performance engineering experience.

Creates and maintains structured technical documentation, user guides, API content, operational information, and web-based publications for optical networking products. Collaborates with R&D, product lifecycle management, and testing teams; manages documentation schedules; uses XML authoring, graphics, content management, defect-tracking, Agile, and DevOps tools. Ensures reusable, accurate, customer-focused content aligns with product releases, quality standards, and documentation development practices.

Owns DevOps and platform engineering for on-premises and Azure-hosted environments. Responsibilities include GitHub Actions, Terraform, Spacelift, AKS, CI/CD, Windows Server and IIS administration, backup and disaster recovery, security tooling, observability, customer environment support, release management, troubleshooting, and operational documentation.

Designs and manages secure, scalable Azure infrastructure for multiple security products. Builds Terraform infrastructure-as-code modules, governs cloud environments, optimizes costs, and develops GitHub Actions CI/CD pipelines with integrated security scanning. Partners with engineering teams, manages operational workflows in Jira, participates in on-call support, and leads root-cause analysis to improve platform resilience.

Supports CI/CD pipeline maintenance, cloud and on-premises infrastructure, application deployments, containerization, scripting automation, monitoring, troubleshooting, and incident resolution. Collaborates with Development, QA, and Security teams across development, staging, and production environments.

Lead DevOps automation and Linux administration across enterprise managed services infrastructure. Develop Python tooling and Ansible/Puppet playbooks, implement GitLab CI pipelines, administer RHEL environments, manage monitoring and security tools, remediate vulnerabilities, support change management, respond to incidents, mentor engineers, and maintain operational documentation. The role includes customer collaboration, cross-time-zone coordination, and participation in an on-call rotation.

Leads hands-on DevOps engineering as an individual contributor. Builds and manages multi-stage CI/CD pipelines, source-control repositories, Docker containers, and production Azure Kubernetes Service clusters. Provisions Azure infrastructure using Terraform, ARM Templates, or Bicep, and develops automation scripts with Python, shell scripting, or PowerShell. Uses AI productivity tools such as Microsoft Copilot, ChatGPT, and GitHub Copilot.