Top Engineering Jobs in Chennai

Provide 24×7 L2 support for network, systems and applications: monitor and triage alerts, troubleshoot switching, routing, firewalls, Wi‑Fi and applications, own incidents end-to-end, perform RCA, maintain dashboards and tickets, support multi-vendor devices and basic Python/REST API automation, and participate in shift/on-call rotations to meet SLAs.

Develop, test, and maintain software and infrastructure code. Collaborate with analysis, operations, and QA teams to troubleshoot issues, implement CI/CD pipelines, attend cloud engineering meetings, and document processes to improve performance and reliability.

Lead and manage software engineering teams while ensuring code quality and timely delivery of enterprise-grade applications, providing technical oversight and mentorship.

Lead and mentor engineering teams to design, build, and deliver scalable .NET/Java full‑stack solutions. Drive architecture, code quality, automation, DevOps, cloud native patterns, product roadmaps, and technical debt reduction while collaborating with stakeholders and applying AI/ML where appropriate.

Analyze and resolve user tickets, profile source systems, design ETL mappings, develop and support ETL pipelines in Azure (ADF/Databricks), perform SQL performance tuning, create test cases and technical documentation, lead and mentor the team, and apply AI/ML techniques to accelerate the SDLC.

Responsible for managing a team of Software Development Engineers in software planning and design, optimizing performance, and collaborating on data pipeline development and quality assurance.

As Engineering Manager for GitLab CD, you will lead a new globally distributed team, manage delivery of a Continuous Deployment product, and collaborate with cross-functional teams to align technical decisions with business goals.

Manage and grow a team responsible for observability, monitoring, and integrations across monetization systems. Improve reliability and data quality for billing, provisioning, subscriptions, and revenue-impacting workflows; define telemetry and integration strategies; implement anomaly detection and incident management; and partner with cross-functional stakeholders to ensure reliable customer and financial workflows.

Design, build, and operate scalable, cloud-native data pipelines, platforms, and production backend services. Implement data models, orchestration (e.g., Airflow), CI/CD, and IaC practices. Ensure reliability, performance, monitoring, and mentor junior engineers while collaborating on architecture and deployments.

Lead a full stack development team focusing on Java and Angular. Provide technical support, drive quality, and optimize workflows while understanding user needs and end-user pain points.

Lead a 4–7 person engineering team to build AI-first GTM systems including LLM orchestration, agentic pipelines, Salesforce integrations, and AWS event-driven services. Hands-on manager contributing to architecture, code reviews, hiring, career development, reliability, observability, responsible AI practices, and cross-functional GTM partnerships to turn business needs into scalable engineering roadmaps.

The Data Engineering Consultant will design and implement scalable data pipelines, develop data transformations using PySpark, optimize Databricks performance, and manage data orchestration and scheduling tools like Apache Airflow in the Azure ecosystem.

Lead the SSCS Add-On engineering team to develop security capabilities, managing delivery, team growth, and quality in a collaborative environment.

Lead the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

Lead and mentor a software engineering team delivering cloud-native platforms using .NET, React, and Python. Drive architecture, design, CI/CD automation, technical debt reduction, stakeholder prioritization, and roadmap planning while ensuring maintainable, testable, and performant solutions.

As an Engineering Manager, you'll lead a global team to enhance GitLab's deployment and upgrade experiences, focusing on reliability and operational simplicity.

Lead and grow Cloudflare's India Customer Engineering team as a technical people leader. Provide hands-on architecture and escalation support, drive regional technical strategy, partner with sales to close deals, run operating cadence for pipeline and adoption, hire and coach CE talent, and surface product and competitive feedback.

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

Lead technical direction and architecture for custom SAP solutions, oversee design and delivery, set coding standards, ensure scalability and performance, mentor team members, coordinate cross-functional teams, and solve complex SAP HANA technical challenges.

Lead and scale distributed engineering teams (50+), owning backend, mobile (iOS/Android), microservices, cloud-native infra, real-time pipelines and API-first products. Drive hiring, retention, and engineering culture; integrate EPOS/payment systems; deliver AI/ML consumer features using LLMs, prompt engineering, and RAG. Champion AI tooling, DevOps best practices, and AI-augmented development workflows across the organisation.

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 mentor a software engineering team to design, develop, and deliver solutions. Manage agile processes, collaborate with cross-functional teams and architects, monitor project progress, and align engineering strategy with business goals.

Responsible for leading technical execution of engineering projects, solving technical problems, mentoring engineers, developing design standards, and driving innovation in the automotive sector.