Top Tech Jobs & Startup Jobs in Chennai

Owns the end-to-end product lifecycle for B2B data, analytics, cloud, and AI products, including customer discovery, product strategy, roadmap prioritization, agile execution, launch, adoption, and continuous improvement. Partners with engineering, architecture, design, quality engineering, cloud operations, sales, customer success, marketing, and customers to deliver scalable products and measurable business outcomes.

Senior Quality Engineer responsible for automating tests for cloud APIs, data pipelines, AI/ML model-serving endpoints, and backend services. The role includes validating data flows and model outputs, conducting integration, regression, and performance testing, and collaborating with global development, data engineering, and QA teams. Candidates need 8+ years of test automation and QA experience, hands-on AI/ML testing expertise, REST API knowledge, and familiarity with CI and containerized environments.

Leads a QA team responsible for quality engineering of data-centric, AI-driven, and scalable cloud systems. Defines automation and BI data validation strategies, oversees backend testing, and partners with product and data engineering teams on coverage, traceability, and reporting accuracy. Drives CI/CD quality metrics, regression automation, and performance testing while managing QA delivery and test environments.

As a Senior Software Engineer, you will design and deliver backend components in C++, optimize systems, and collaborate with global teams to ensure project success.

Lead the design and development of high-performance, scalable backend systems using modern C++. Responsibilities include code reviews, mentoring engineers, collaborating with global teams, delivering solutions, and driving performance optimization. The role requires extensive C++ development in Unix/Linux environments, expertise in multithreading and system performance, and experience with CI/CD and modern development tools. Knowledge of networking, distributed systems, containers, Java, and Redis is preferred.

Lead complex full-stack engineering initiatives across Java backend services, React applications, and cloud-based data integration. Design scalable systems, optimize performance and reliability, integrate Snowflake and Databricks workflows, and drive production readiness. Provide technical leadership through mentoring, code reviews, and architectural guidance. The role may also involve integrating AI features and optimizing BI and analytics query performance.

Own the end-to-end product lifecycle for B2B data, analytics, cloud, and AI products. Responsibilities include customer discovery, product strategy, roadmap and backlog prioritization, agile execution, stakeholder collaboration, product analytics, launch adoption, performance monitoring, and continuous improvement. The role requires translating customer problems into scalable, high-impact products while partnering with Engineering, Architecture, Design, Cloud Operations, Sales, Customer Success, and Marketing.

The Software Architect will design cloud-native applications, lead the architecture of microservices, and collaborate with teams on automation and governance.

The Software Architect will guide large-scale projects, define architectural standards, and lead teams in delivering full-stack web solutions.

The Principal Cloud Engineer will design, develop, and manage scalable cloud-native applications using Java, Spring Boot, and Kubernetes, while mentoring teams and implementing DevOps practices.