Top Engineering Jobs in Chennai

Lead the Globalisation engineering team, manage engineers, collaborate on scalable solutions, mentor team members, and drive product vision and technical direction.

The Senior Manager, Software Engineering oversees software development, manages teams, evaluates performance, and ensures project execution while collaborating across functions to meet business needs.

The Director of Software Engineering will manage senior developers, oversee ambitious software projects, and possess strong system design and presentation skills with current knowledge of Agentic AI technologies.

The role involves leading a team to integrate security capabilities into GitLab's platform, managing projects, and collaborating with multiple teams to enhance product security.

The AI Engineer is responsible for designing, validating, and supporting engineering processes, ensuring compliance with development plans and customer requirements.

Lead and grow the Applied AI team, providing engineering leadership and product guidance for AI agents in physical operations. Drive team performance and collaborate with cross-functional teams to ensure product reliability and user value delivery.

Lead and manage engineering teams in Agile environment, focusing on innovation in AI features and digital asset management. Engage in code design and review while promoting best practices.

Lead AI/ML engineering teams to build AI solutions, overseeing strategy, architecture, and high-performance team management. Collaborate with other teams and ensure operational excellence in AI projects.

The Senior Manager of Engineering leads a multi-functional engineering and DevOps team, partnering with leadership to ensure product excellence and optimize technology strategies.

The Engineering Manager will lead a team to develop product features for fleet and driver safety, manage engineering outputs, and shape technology vision while ensuring high-quality operations.

The role involves enhancing data quality and ETL solutions for the Enterprise Data Warehouse, focusing on data modeling and analysis using tools like Snowflake and Pentaho.

Design and implement AI workflows, develop APIs, collaborate with teams, deploy cloud models, and ensure responsible AI practices.

Lead high-performing Engineering teams to develop innovative software products, establish best practices for automation and cloud deployment, and mentor developers.

This role involves troubleshooting operational issues, providing technical solutions, and optimizing database performance in a collaborative project team setting.

Responsible for validating product quality through automated testing, analyzing code functionality, and repairing broken automation scripts while collaborating with software engineers.

The role involves planning, designing, and developing software applications, testing and debugging components, and collaborates with Quality Assurance to meet specifications.

The Engineering Manager will lead a team of engineers, oversee project management, provide technical direction, and ensure high-quality software delivery.

The role involves planning, designing, testing, and debugging software applications while collaborating with the Quality Assurance team to ensure specifications are met.

The Junior Engineer in Component Engineering will manage technical attributes for electronic components, ensure data accuracy, and communicate customer requirements across various teams.

Lead a QA team to ensure quality of AI-driven cloud systems, focusing on automation, data validation, and performance testing.

As an Intern in Software Engineering, you will work on software for logistics, participating in the full development cycle and collaborating with teams to deliver high-quality applications.

Leads a team of Software Development Engineers in planning and designing software applications, manages projects and collaborates with Quality Assurance.

As Principal Architect, you will design and implement solutions for Tekion's Operating Cloud, collaborating cross-functionally to optimize performance and scalability through AI and cloud technologies.

Lead and mentor a team of engineers in distributed systems, design scalable systems, and contribute to coding, code reviews, and problem-solving.

As a Data Engineering Manager, lead the development of data products, drive innovation using AI, and manage a team while collaborating across multiple teams.