Top Tech Jobs & Startup Jobs in Mumbai

Support 3D designers and manage virtual product creation and eCommerce product data. Coordinate and implement PLM/eCommerce projects, gather business requirements, maintain and develop product data applications, provide training and documentation, and produce reports and analyses.

Support threat intelligence, incident analysis/response, penetration test coordination, vulnerability scanning and remediation tracking, security tool administration, dashboard maintenance, and adherence to security policies while learning and developing cybersecurity skills.

Lead quality strategy and test automation for personalization, recommendation, experimentation and consumer intelligence. Build and maintain automated test frameworks (API, integration, contract, E2E), integrate quality into CI/CD, validate ML-driven outputs and consumer journeys, manage test data/environments, and coach engineers to improve release reliability and engineering quality.

Design, build, and maintain production-grade microservices and web applications to power personalization and recommendations. Implement model-serving and inference integrations, ensure resiliency, observability, and low-latency performance, work with event-driven and caching patterns, collaborate with AI/ML and data teams, drive technical designs, mentor engineers, and operationalize services for production readiness.

Lead technical design and delivery of personalization and recommendation backend services: architecture, model serving, low-latency APIs, event-driven integrations, LLM/AI integration, observability, performance optimization, and technical mentorship across teams to enable real-time, data-driven consumer experiences.

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

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 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 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 end-to-end solution architecture for PUMA's global DTC landscape, defining high-level designs, integration patterns, and non-functional requirements. Advise product and project teams, run design reviews and governance, and ensure scalability, security, observability, and operational readiness across digital and retail systems.