Top DevOps Jobs in Chennai

Develop and maintain Java backend services, RESTful APIs, and microservices using Spring Boot. Integrate Oracle and MongoDB databases while ensuring performance, security, coding standards, and quality. Participate in testing, code reviews, documentation, Agile meetings, and continuous improvement. Collaborate with distributed teams and deliver projects within estimated timelines. The role also involves exposure to Angular, DevOps tools, Docker, Kubernetes, Kafka, and CI/CD pipelines.

Develop, design, code, test, and implement Java backend systems using Java, J2EE, Spring, Hibernate, Oracle, Jenkins, Maven, and JUnit. Conduct impact analysis, code reviews, unit testing, technical documentation, estimation, planning, and status reporting. Collaborate with developers and testers, support technical queries, maintain application quality, participate in technical interviews, and mentor junior team members.

Lead a team delivering DevOps automation and solutions for Ericsson’s 4G and 5G customer environments. Responsibilities include performance monitoring, troubleshooting, platform management, system design, CI/CD automation, infrastructure and service lifecycle management, reliability improvements, customer deployments, and operational support. The role requires building scalable cloud-native systems, maintaining DevOps platforms, automating deployment of numerous services, and collaborating with development teams on testing, releases, security, and compliance.

Owns the strategy, roadmap, delivery, and adoption of enterprise AI enablement platforms and AI products. Responsibilities include defining AI capabilities, prioritizing use cases, managing product lifecycles, partnering with engineering and data teams, establishing responsible AI governance, managing budgets and vendors, and influencing senior stakeholders. The role also mentors product teams and drives AI adoption, evaluation, monitoring, compliance, and organizational transformation.

Leads enterprise software design and development using .NET technologies, web frameworks, Azure, microservices, and domain-driven design. Provides technical direction, mentors developers, conducts code reviews, contributes to architecture and Scrum ceremonies, decomposes requirements, troubleshoots and improves applications, and develops reusable services and documentation. Requires strong team leadership, Agile experience, and collaboration across business and IT groups.

Develop and customize Temenos T24/Transact solutions using Java, Spring, REST APIs, messaging, microservices, and database technologies. Design and deliver web and mobile solutions, implement API and RDBMS architectures, apply automated testing, and support CI/CD, DevOps, and Agile practices. Collaborate across teams, contribute to technical design and knowledge sharing, solve complex problems, and apply banking or wealth-management expertise. The role is based in Chennai and requires at least five years of experience.

Lead independent manual and automated quality assurance testing for software projects. Develop and contribute to Java-based automation frameworks using BDD, Cucumber, Selenium, and related tools. Execute diverse tests, analyze failures, identify root causes, manage defects through closure, and ensure accurate test documentation. Collaborate with developers on feature-branch certification, apply AI tools, and support agile delivery while maintaining quality, timelines, and customer-focused technology solutions.

Leads delivery of enterprise conversational AI platforms, including chatbots and voice bots. Oversees Agile execution, technical architecture, cloud-native engineering, CI/CD, Terraform, Responsible AI, and AI adoption. Partners with product, security, architecture, and business teams while managing risks and executive communication. Mentors engineers and technical leads, supports hiring and performance management, and ensures scalable, secure, compliant, and operationally excellent solutions.

Lead end-to-end delivery of enterprise conversational AI platforms, including chatbots, voice bots, and virtual assistants. Design scalable cloud-native solutions using Amazon Lex, Dialogflow, CI/CD, Terraform, and responsible AI practices. Drive Agile execution, stakeholder alignment, operational excellence, and AI adoption while mentoring engineers and technical leads. Partner with product, architecture, security, and business teams to deliver secure, compliant, and innovative AI solutions.

Build scalable full-stack applications, AI-powered solutions, automation workflows, and software agents using Java and Python. Translate business requirements into secure technical solutions, develop CI/CD pipelines, test and troubleshoot applications, monitor performance, and collaborate with stakeholders on agile delivery. The role also involves Kubernetes, distributed systems, agent orchestration, enterprise integrations, and adherence to security and quality standards.

Leads a team responsible for enterprise DevOps and platform engineering services. Owns the reliability, support, governance, and improvement of tools including GitHub, GitHub Actions, Jira, Confluence, SonarQube, and Artifactory. Directs upgrades, integrations, CI/CD improvements, incident resolution, prioritization, service metrics, compliance, automation, and AI adoption while providing technical guidance and stakeholder leadership.

Leads strategy, vision, roadmap, prioritization, adoption, governance, and enterprise-scale delivery for DevOps platforms including Jira, Confluence, GitHub, and GitHub Copilot. Manages Product Owners, aligns senior stakeholders, embeds security and compliance, and drives scalable platform services for 20,000–30,000 users. Requires extensive product leadership, portfolio management, DevOps expertise, people management, cross-functional influence, and experience driving adoption in complex enterprise environments.

Lead the strategy, roadmap, prioritization, adoption, governance, and continuous improvement of AstraZeneca’s enterprise DevOps platform portfolio. Manage Product Owners, align Jira, Confluence, GitHub, GitHub Copilot, and related services, and drive secure, scalable platform adoption across 20,000–30,000 users. Partner with engineering, cybersecurity, architecture, compliance, and senior business leaders to deliver enterprise-grade developer productivity and delivery outcomes.

Facilitate Scrum ceremonies, coach teams on Agile and Jira practices, track delivery metrics, remove impediments, and support product backlog management. The role also assists with project planning, risk management, stakeholder communications, and change management while developing toward full project ownership. It additionally requires information security, compliance, risk management, and Identity and Access Management experience, along with security standards implementation and awareness training.

Designs, develops, tests, operates, and maintains production software products. Owns full-stack delivery, writes scalable and reliable code, conducts code reviews, analyzes failures, and applies security and compliance best practices. Collaborates across product teams, contributes to architectural decisions and continuous improvement, mentors junior engineers, and supports agile and DevOps practices.

Leads Walmart’s Chennai Ads and Walmart Plus engineering organization and serves as Site Lead for Offsite Ads engineering. Defines strategy, architecture, roadmaps, and delivery for DSP, SSP, DMP, and real-time auctioning platforms. Oversees high-scale, low-latency systems, data processing, AI/ML innovation, reliability, security, privacy, budgets, and cross-geography execution. Builds leadership pipelines, scales teams, establishes engineering standards, and partners with global stakeholders to achieve business outcomes.

Design and lead scalable data and AI/ML architectures for enterprise applications. Responsibilities include defining data requirements, modeling storage and integration structures, developing and deploying machine learning and generative AI solutions, building data and MLOps pipelines, and applying cloud, distributed computing, and high-performance computing technologies. The role also involves stakeholder collaboration, technical leadership, mentoring, architecture standards, and delivering production-ready solutions in a consulting environment.

Design and lead scalable data architectures, including data modeling, storage, integration, and cloud-based platforms. Develop and operationalize AI and machine learning solutions, data pipelines, and MLOps workflows using Python and related frameworks. Collaborate with technical and business stakeholders, establish architecture standards, solve complex data problems, mentor team members, and support production deployments involving deep learning, generative AI, distributed computing, and large language models.

Designs and leads scalable data architectures, including data modeling, storage, integration, and cloud-based platforms. Develops and operationalizes AI/ML solutions, data pipelines, and MLOps processes using large-scale datasets, machine learning frameworks, and generative AI technologies. Collaborates with technical and business stakeholders, establishes architecture standards, mentors team members, and provides solutions across multiple teams. Requires strong programming, distributed computing, cloud, data engineering, and client-facing consulting skills.

Define and lead scalable data architectures, including data modeling, storage, integration, and cloud platforms. Develop and operationalize AI and machine learning solutions using deep learning, generative AI, and large language models. Build data, DevOps, and MLOps pipelines; collaborate with business and technical stakeholders; establish architecture standards; solve complex client problems; and mentor team members.

Design and implement scalable data architectures, AI/ML models, data pipelines, and cloud-based production systems. Responsibilities include data modeling, storage and integration, deep learning and generative AI applications, distributed computing, MLOps, stakeholder collaboration, technical leadership, and mentoring.

Develop and support Java full-stack web applications for banking platforms. Responsibilities include backend development with Java and Spring, frontend development with Angular and TypeScript, REST API and SQL Server work, automated testing, debugging, code reviews, Agile participation, CI/CD support, deployment coordination, documentation, and production stabilization. The role collaborates with technical, business, QA, infrastructure, DevOps, and support teams.

Leads IBM z/OS system programming, infrastructure design, upgrades, migrations, SMP/E maintenance, and subsystem support across JES, storage, networking, CICS, DB2, IMS, and MQ. Drives automation, performance, capacity optimization, security compliance, disaster recovery, monitoring, and critical incident resolution. Provides production support in SLA-driven environments, coordinates vendors, supports modernization initiatives, and mentors technical teams.

Designs, integrates, troubleshoots, and automates enterprise infrastructure across AWS, hybrid cloud, on-premises, server, network, endpoint, and mainframe environments. Diagnoses complex technical issues, develops reliable solutions, documents architectures and procedures, coordinates cross-functional delivery, manages risks, and communicates technical recommendations to customers. The role also emphasizes continuous learning, certifications, and progression toward architecture or distinguished engineering positions.

Administer and modernize DB2 for z/OS environments by installing, configuring, upgrading, and migrating subsystems. Manage data sharing, performance, availability, disaster recovery, backup, recovery, capacity, and enterprise utilities. Integrate DB2 with z/OS and related platforms, troubleshoot major incidents, support application teams, and establish operational standards. The role also involves client collaboration, security compliance, modernization recommendations, and stakeholder management.