Top DevOps Jobs in Chennai

Develop, design, test, and implement Java backend systems for financial services clients. Responsibilities include Java/J2EE development with Spring, Hibernate, Oracle, Jenkins, and Maven; writing comprehensive JUnit tests; conducting impact analysis, code reviews, documentation, estimations, and status reporting; maintaining quality standards; and supporting or mentoring junior developers and testers.

Leads strategy, roadmap ownership, governance, execution, and operational readiness for enterprise Platform Operations initiatives. Coordinates engineering, architecture, security, quality, and operations teams; manages dependencies, risks, milestones, releases, and stakeholder communications. Establishes quality gates, security and SDLC controls, operational readiness processes, KPI reporting, and continuous improvement programs focused on reliability, automation, scalability, delivery predictability, and cost optimization.

Leads end-to-end post-GA business operations for Ericsson BSS products, including team leadership, workforce planning, budgets, forecasting, maintenance lifecycle decisions, release quality, third-party support licensing, governance, metrics, and operational improvement. The role partners across product development, support, finance, sales, and services to drive standardization, customer focus, automation, AI adoption, service readiness, and sustainable operational performance in global, matrixed environments.

Design, build, and scale high-performance backend systems in Golang. Lead system and API design, cloud-native microservices, observability, secure coding, and AI/ML integrations. Mentor junior engineers and collaborate with DevOps, QA, and platform teams to deliver reliable, testable solutions.

Develop responsive user interfaces and scalable backend services for web applications. Translate UI/UX designs into high-quality applications, build APIs, collaborate with product and design teams, participate in code reviews, troubleshoot issues, and improve development processes. The role emphasizes front-end development while contributing across the full stack, including testing, version control, cloud and virtualization technologies, containerization, and DevOps practices.

Develop and evolve an edge device management platform by building responsive frontends, backend services, RESTful APIs, and microservices. Work across Linux environments and the full software development lifecycle, collaborating with product and engineering teams in Agile ceremonies. Responsibilities include code reviews, debugging, documentation, and improving application performance, scalability, and reliability.

Designs, develops, deploys, and operates scalable enterprise data products, pipelines, semantic models, and curated datasets. Builds batch, streaming, event-driven, ETL/ELT, and cloud-native data solutions using platforms such as Snowflake and Databricks. Ensures data quality, governance, lineage, security, observability, scalability, and cost efficiency while supporting analytics, AI/ML, operational processes, and regulatory requirements. Partners with business, product, architecture, governance, and platform teams and contributes to CI/CD, DataOps, documentation, and Agile delivery.

Design, develop, configure, and integrate SAP ABAP Cloud applications, APIs, reports, extensions, and Fiori interfaces. Use SAP BTP, RAP, CDS, and clean-core development practices. Perform code optimization, debugging, system upgrades, and migrations. Collaborate with functional teams, conduct code reviews, mentor junior developers, and apply software engineering and Agile practices.

Designs, integrates, troubleshoots, and automates enterprise infrastructure across servers, networks, cloud, and systems. The role delivers hybrid cloud and on-premises solutions, diagnoses complex issues, assesses risks, documents architectures, coordinates technical teams, and communicates solutions to customers. It requires expertise in a technology domain, enterprise IT application experience, AWS public cloud experience, and strong Windows and Linux knowledge.

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.

Build, maintain, test, and optimize scalable data architectures and platforms. Extract, transform, and load data for analysts and data scientists; source and integrate new data; apply DevOps practices; resolve technical issues; and develop secure, cost-effective data solutions using AI. Collaborate with technology, architecture, and business stakeholders while improving data quality, structures, metrics, and customer-focused outcomes.

Build and support data integration and real-time streaming platforms. Responsibilities include data modeling, transformation, cloud-based data engineering, CI/CD and DevOps practices, Kafka and CDC solutions, topic and schema management, connector and stream-processing pipelines, legacy-to-modern platform integration, data mapping, quality management, and stakeholder collaboration.

Develop and enhance custom software solutions using Angular and modern development practices. Design scalable, high-performing applications, integrate RESTful APIs, troubleshoot complex issues, and optimize performance. Lead software development planning and execution, collaborate with multiple teams, make technical decisions, manage stakeholders, and mentor junior engineers. AWS and DevOps architecture experience are preferred.

Leads the architecture, design, and delivery of enterprise data products and domain data assets. Establishes engineering standards, frameworks, governance, reliability, observability, and security practices. Guides cloud and data platform decisions, translates business priorities into technical roadmaps, mentors engineers, supports hiring, and drives modernization, cost optimization, and technical debt reduction. Builds trusted data products for AI, machine learning, and advanced analytics.

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.

Engineer and maintain complex, secure, high-performance software, scripts, and tools across the full development lifecycle. Responsibilities include requirements analysis, architecture, coding, testing, deployment, operations, maintenance, and decommissioning. The role collaborates with engineers, architects, business analysts, and stakeholders while applying best practices for scalability, automation, virtualization, availability, optimization, and performance within an Agile, DevOps environment.

Design, develop, test, operate, and maintain production software products. Own full-stack delivery by writing scalable, reliable, secure, and testable code; conduct code reviews; analyze failures; improve operations; and follow architectural, compliance, and security standards. Collaborate with engineers, product owners, scrum masters, vendors, and customers while supporting agile delivery, prioritization, continuous improvement, and technology transformation.

Designs, develops, tests, operates, and maintains production software products. Owns full-stack implementation, creates scalable and reliable technical designs, analyzes failures, conducts code reviews, and applies security, compliance, and software reliability practices. Collaborates with engineers, product owners, scrum masters, vendors, and customers while contributing to agile delivery, operational improvements, and the bank’s technology transformation.

Lead maintenance and enhancement of risk-rating and adverse-media software. Translate business requirements into technical designs, investigate defects, optimize Oracle PL/SQL performance for large datasets, and maintain AutoSys jobs and Linux scripts. Participate in requirements analysis, design discussions, and Agile/DevOps delivery while serving as a product technical lead.

Leads non-functional testing transformation across enterprise applications and APIs, covering performance, scalability, reliability, resilience, capacity, stress, volume, batch, and soak testing. Drives automation, shift-left practices, CI/CD integration, quality gates, reusable frameworks, governance, risk assessment, and performance engineering. Collaborates with architecture, engineering, infrastructure, business, and senior leadership teams while using data and AI-enabled quality engineering to improve testing effectiveness and delivery outcomes.

Designs, develops, tests, deploys, and maintains secure, scalable cloud-native software, scripts, and tools. Works across the full software lifecycle within feature teams, collaborating with engineers, architects, business analysts, and stakeholders. The role emphasizes Java, microservices, Kubernetes, DevOps automation, cloud platforms, performance optimization, secure secrets management, Agile delivery, and software engineering best practices.

Builds, deploys, monitors, troubleshoots, and optimizes Microsoft Azure infrastructure and services. Supports cloud migrations, integrations, disaster recovery, networking, storage, security, automation, Infrastructure-as-Code, PaaS, serverless technologies, API management, Azure SQL, and operating systems. Contributes to solution design, modernization, cost optimization, documentation, compliance, and cross-functional cloud adoption initiatives.

Designs, develops, tests, operates, and maintains full-stack software products using Pega. The role owns production-ready code, contributes to architecture and code reviews, and ensures scalability, reliability, security, compliance, and performance. Responsibilities include Agile and DevOps practices, prioritizing work, communicating blockers, supporting continuous improvement, and contributing to digital transformation initiatives. The engineer will develop and integrate complex software solutions, particularly for financial services, credit card, and collections systems.

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.

Lead quality engineering for enterprise ServiceNow implementations, upgrades, integrations, and releases. Develop test strategies, plans, data, documentation, and automated regression suites using ServiceNow ATF. Validate functional, integration, security, performance, and end-to-end behavior across ServiceNow modules and external systems. Integrate testing into GitHub workflows and CI/CD pipelines, manage defects, support release readiness, and provide quality metrics. Collaborate with global stakeholders and participate in Agile ceremonies and continuous improvement.