Top DevOps Jobs in Chennai

Owns technical direction for enterprise agentic AI solutions across application, cloud, data, and AI layers. Leads architecture decisions, deployment standards, security reviews, reusable infrastructure, CI/CD practices, and production monitoring. Mentors Forward Deployed Engineers toward independent delivery, guides design and code reviews, prototypes high-risk components, and resolves critical blockers. The role emphasizes technical leadership, scalable deployment capability, cloud cost discipline, agent evaluation, guardrails, and operational reliability rather than sustained feature development.

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.

Leads the design, development, deployment, and operation of enterprise-scale AI, machine learning, NLP, GenAI, and agentic AI solutions. Builds scalable Python pipelines on Databricks and Azure, develops distributed ML applications, and implements MLOps, LLMOps, CI/CD, and responsible AI practices. Collaborates with technical and business teams to deliver actionable intelligence, establishes AI strategies and roadmaps, mentors junior engineers, and supports team scaling.

Lead the architecture and development of scalable cloud-hosted eCommerce applications using Java, Spring Boot, React, and TypeScript. Design distributed, event-driven microservices, REST APIs, and messaging integrations while ensuring resilience, performance, observability, and maintainability. Collaborate with product and business teams, participate in architecture and capacity planning, champion CI/CD and testing practices, and mentor junior engineers.

Leads Supply Chain Engineering teams through people management, delivery execution, stakeholder alignment, risk and dependency management, and engineering maturity improvements. The role strengthens SDLC, QA, automation, DevOps, observability, governance, delivery metrics, reusable practices, onboarding, and continuous improvement across distributed teams. Success depends on improving predictability, accountability, quality, release readiness, team capability, and execution discipline.

Provide technical leadership for scalable retail transaction management and payment authorization/settlement platforms. Design and optimize Java-based microservices, REST APIs, and distributed systems; establish architecture and coding standards; oversee testing, CI/CD, security, and performance; modernize legacy systems to Azure cloud-native architectures; collaborate across teams; mentor engineers; and promote AI-assisted development practices.

Designs, develops, evaluates, and deploys enterprise-scale AI, machine learning, NLP, generative AI, and agentic solutions for e-commerce. Builds scalable Python pipelines on Databricks and Azure, develops distributed streaming ML applications, and drives software delivery through DevOps, MLOps, and LLMOps practices. Collaborates cross-functionally to translate business needs into reliable AI products while implementing responsible AI, explainability, fairness, human validation, compliance, and governance.

Define end-to-end technical architecture for SAP S/4HANA implementations, enhancements, cloud landscapes, integrations, extensions, workflows, and custom developments. Lead solution design workshops, architecture discussions, governance, performance optimization, code remediation, technical reviews, risk assessments, and deployment planning. Collaborate with stakeholders and functional consultants, support transformation programs, present solutions, and mentor technical teams while establishing development standards and scalable enterprise architecture practices.

Develop secure, high-performance financial transaction systems using Java, Spring Boot, microservices, React.js, and RESTful APIs. Build and integrate financial APIs using OAuth2 and JWT, ensure PCI DSS and GDPR compliance, optimize high-volume low-latency applications, and collaborate with product teams. Participate in Agile practices, code reviews, and DevOps activities while delivering technical solutions across business and product stakeholders.

Lead design and delivery of scalable Salesforce solutions using Apex, LWC, Flows, and integrations. Architect Agentforce-driven AI agents, implement Data Cloud ingestion and activation, enforce governance, mentor engineers, support CI/CD, and optimize performance and security across enterprise Salesforce implementations.

Lead design, development, and delivery of scalable Salesforce solutions using Apex, LWC, Flows, integrations, and Data Cloud. Architect Agentforce AI agents and integrate AI with platform features. Ensure performance, security, governance, CI/CD, mentor engineers, and collaborate with data and business teams to enable real-time activation and data-driven automation.

The Senior Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality, integrity, and alignment with business objectives. Responsibilities include collaborating with teams and establishing best practices for data engineering.

We are seeking a Full Stack Developer with 3+ years of experience in Java/J2EE and expertise in web development technologies like Angular and React.

Lead and grow a software engineering team to design and deliver scalable, fault-tolerant distributed image-computing platforms. Drive architecture for hybrid CPU/GPU workloads, enable developer productivity, collaborate with product/hardware/algorithm teams, and manage full lifecycle from requirements through deployment and maintenance.

Leads design, development, testing, deployment, and support of complex C/C++ and .NET software for MES and equipment automation systems. Translates requirements into scalable architectures, resolves distributed-system issues, drives verification and validation, participates in design and code reviews, collaborates with cross-functional teams, mentors engineers, and leads technical projects.

Design, develop, and support enterprise data platforms, ETL/ELT pipelines, Oracle databases, data warehouses, and risk and regulatory reporting solutions. Build automation, optimize SQL and data processing, ensure data quality, reconciliation, lineage, governance, and audit readiness. Provide L2/L3 production support, resolve incidents, manage batch operations, and perform root-cause analysis. Collaborate with Risk, Finance, Regulatory, Business, and Technology stakeholders while mentoring junior team members.

Design, develop, and support enterprise data platforms, ETL/ELT pipelines, Oracle and SQL/PLSQL solutions, data warehouses, and risk and regulatory reporting systems. Provide production support, troubleshoot batch and data issues, optimize performance, automate validation and reconciliation, and ensure data quality, governance, lineage, and audit readiness. Collaborate with Risk, Finance, Regulatory, Business, and Technology stakeholders while providing technical leadership and mentoring.

Lead and manage global IT infrastructure as a product: plan roadmaps, run BAU services, deliver cloud migrations, manage networks/servers/security, lead Wintel/Desktop/DevOps teams, oversee budgets, KPIs, and on-call support to ensure stability, scalability and compliance.

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.

Design, build, and maintain Azure-based data infrastructure and pipelines. Implement data models and schemas, ensure data quality, optimize distributed storage and processing (Databricks/PySpark), and establish engineering best practices while partnering with cross-functional teams.

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.

Design, develop, test, operate, and maintain full-stack software products. Write production-ready code, create scalable and reliable technical designs, analyze failures, conduct code reviews, and follow security, compliance, and software reliability practices. Collaborate with engineers, product owners, scrum masters, vendors, and customers while supporting agile delivery, DevOps principles, continuous improvement, and the bank’s technology transformation.

Design, develop, deploy, and maintain scalable enterprise applications using ReactJS front-ends and ASP.NET Core APIs. Implement cloud-native solutions (Azure/AWS), microservices, CI/CD/DevOps, containerization, testing, and performance optimization while collaborating with cross-functional teams.

Designs and develops Java and Spring-based cloud-ready applications, REST/SOAP services, microservices, and APIs. Leads large technology initiatives, manages stakeholders, risks, deadlines, and geographically distributed teams. Works with Azure, RDBMS, DevOps, CI/CD, containerization, and frontend technologies including Angular and JavaScript. Develops reusable libraries, SDKs, interceptors, and pattern-based solutions while mentoring less experienced staff and driving technical improvements.