Top Tech Jobs & Startup Jobs in Delhi

Design, implement, and maintain scalable Java-based software solutions. Collaborate across the SDLC, drive feature development, conduct code reviews, support CI/CD and DevOps practices, and ensure system performance, security, and reliability.

Serve as the HR business partner for the area/country executing recruitment, onboarding, talent development, employee relations, performance and promotion processes, training coordination, manpower and succession planning, compensation review and budgeting, and partnering with HR service and regional teams to implement global/regional HR projects and support leaders on employee issues.

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

Lead platform engineering for consumer web and mobile experiences, set technology vision and standards, own frontend architecture, component library, observability and performance, drive AI/LLM integration, govern vendor delivery, and grow a lean senior engineering team to deliver fast, accessible, and scalable DTC digital experiences.

Lead engineering for Consumer Intelligence & Engagement, owning personalization, content management, product discovery, promotions, and communications. Define technology strategy, architecture, and AI integration; ensure GraphQL/APIGEE APIs, SFCC and Sanity implementations, performance, testing, and platform health. Build and mentor senior engineering teams, partner with product and business stakeholders, and drive delivery, standards, and experimentation across DTC commerce capabilities.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Develop and maintain Digital Workplace tools, working closely with teams, performing testing, debugging, and technical research. Requires web development experience and familiarity with modern software architectures.

Perform various testing operations including UI, functional, and regression tests. Create test scenarios, document defects, and provide support for PLM applications.