Top Engineering Jobs in Chennai

Lead engineering projects, automation and digitization, new product qualification, and machine/process reliability. Manage budgets, timelines, root-cause troubleshooting, maintenance strategy, and integration of advanced manufacturing technologies. Mentor and develop engineering team, ensure safety and compliance, and coordinate with regional/global stakeholders to drive productivity and operational excellence.

Lead product quality across the SDLC by reducing defects, driving root-cause analysis, defining automation strategy and quality gates, building automated test frameworks (Playwright, API, integration, performance), integrating tests into CI/CD, enforcing release readiness, and using Claude Code and other AI tools to analyze issues and improve engineering outcomes.

Lead a software engineering team building omnichannel commerce services (inventory, delivery promise, integrations). Drive execution (OKRs, sprints, capacity, risk), engineering quality, metrics, AI-assisted practices, stakeholder collaboration, hiring, and vendor management to deliver reliable, scalable commerce capabilities.

Lead platform engineering teams to execute platform strategy, roadmaps, and integration capabilities. Drive platform adoption, developer enablement, test automation, quality engineering, observability, AI-assisted tooling, and engineering productivity. Manage delivery planning, OKRs, sprints, capacity, dependencies, vendors, and stakeholder engagement while coaching and growing high-performing engineering teams.

Lead and grow a software engineering team building personalization, recommendation, and consumer intelligence services. Own delivery planning, OKRs, sprint execution, quality, CI/CD, experimentation adoption, metrics, vendor management, and coaching to drive reliable, data-driven consumer engagement experiences.

Lead MLOps platform and infrastructure for autonomous-driving ML: build multi‑AZ AWS/Kubernetes environments, operate distributed multi‑GPU training, implement Airflow/MLflow pipelines, CI/CD, data ingestion/validation, monitoring, and collaborate with ML teams to deliver safety‑critical production ML systems.

Lead global engineering, integration, configuration, security and support for software, cloud and hardware solutions. Own technology roadmaps, prioritize and deliver projects on time/budget, ensure security and operational resiliency, collaborate with business leaders, manage and mentor teams, and drive technology strategy and risk management.

Lead and scale a global, fully remote engineering organization. Drive technical strategy, architecture, and platform scalability for high-volume ad tech systems. Improve delivery efficiency by implementing engineering metrics (DORA/SPACE) and AI-augmented tooling. Mentor engineering managers, design autonomous pods, manage technical debt, ensure security and compliance, and measure outcomes to increase deployment frequency, reduce cycle times, and boost team retention.

Design, implement, and support complex web applications using Java/Spring. Contribute to architecture, technical design, testing, releases, and troubleshooting. Provide technical supervision on small projects and work across multiple concurrent initiatives.

Design, develop, and maintain automated tests, tools, and frameworks for ETL/database testing. Translate requirements into automation specs, implement TDD/BDD approaches, perform white-box testing, and collaborate to improve automation maintainability and processes while tracking automation metrics and KPIs.

Design, develop, and maintain Java/Spring-based web applications on cloud. Contribute to application architecture, technical design documents, release planning, testing, troubleshooting, and production support while working on multiple projects in Agile teams.

Design, develop, and maintain automated API and UI tests and frameworks. Lead automation best practices, code reviews, CI/CD pipeline creation, cloud testing efforts, and mentor QE teams while collaborating with architects, developers, and business stakeholders to ensure product quality.

Senior software engineer focused on ETL testing: strong SQL and ETL testing concepts, experience with ETL testing tools, and core Python coding to automate ETL tests.

Lead software engineer responsible for designing and developing Oracle PL/SQL stored procedures and SnapLogic pipelines, optimizing SQL performance across large datasets, participating in Agile delivery and release planning, performing code reviews, tuning, and ensuring solutions meet scalability, resiliency, security, and high-availability standards.

Senior/principal software engineer responsible for designing and developing Oracle PL/SQL stored procedures, SnapLogic integration pipelines, SQL performance tuning, AWS-based deployments, code reviews, release planning, and ensuring performance, scalability, resiliency, and security across data solutions.

Principal software engineer responsible for designing and building data solutions: develop Oracle PL/SQL stored procedures, create SnapLogic pipelines, tune SQL/DB performance, participate in Agile delivery, perform code reviews, troubleshoot, and ensure scalability, resiliency, security, and high availability.

Lead design and implementation of test automation frameworks, develop and maintain automated tests and tools, mentor SDET teams, collaborate with architects/devs to define QE strategy, build CI‑CD pipelines, and drive cloud testing and quality best practices across applications.

Design and run load tests for web/REST APIs, embed performance tests into CI/CD, analyze complex workloads to find bottlenecks, tune Node.js and Java servers, use JMeter/SiteSpeed and APM/log tools (ELK, Grafana, AppDynamics), perform Linux-based analysis with shell scripting, and produce performance metrics for management.

Design, develop and maintain data ingestion and transformation pipelines, optimize data architectures, manage data sources, and collaborate with teams on data analytics and ML datasets.

Lead the design and development of data pipelines and architectures, ensuring data quality and governance while mentoring junior engineers.

Lead product engineering teams in developing high-quality enterprise products, ensuring architectural design, code quality, and performance engineering.

Lead and manage cloud networking engineering teams to design, develop, test, and automate features for Extreme's Cloud platform. Plan releases, drive execution, ensure quality through reviews and CI/CD, coordinate cross-functional stakeholders, run scrums, handle customer issues, and perform hiring, performance management, and team development.

Investigate, analyze, and remediate security vulnerabilities in embedded and gateway firmware. Perform security analysis of firmware packages, update mechanisms, and exposed interfaces; support secure boot, firmware signing, threat modeling, SBOM management, compliance with product cybersecurity standards, and collaborate with firmware, QA, and compliance teams to embed security-by-design.

Lead architecture and execution of mainframe (COBOL/JCL/CICS/DB2) migrations to AWS, define reference architectures, recommend AWS services, evaluate modernization tools, enable containerization/serverless and DevOps, run PoCs, and build organizational capability for cloud modernization.

Work on real-world software projects: design, develop, test, and improve software. Collaborate with stakeholders, learn new technologies, apply engineering principles, and enhance product reliability, performance, and observability in a team environment.