Top Tech Jobs & Startup Jobs in Mumbai

Leads architecture, development, and evolution of large-scale React Native applications across iOS and Android. Defines mobile engineering standards, reusable patterns, security and privacy practices, release processes, accessibility, performance optimization, API and commerce integrations, experimentation, and design systems. Provides technical direction, partners cross-functionally, makes architectural decisions, mentors engineers, and improves delivery through AI-assisted engineering tools.

Leads architecture, development, and technical strategy for omnichannel Order Management capabilities, including order orchestration, inventory, fulfillment, returns, and post-purchase experiences. Designs scalable API-first, event-driven microservices and integrates OMS with commerce, ERP, WMS, payments, logistics, and customer-service systems. Establishes engineering standards, reliability practices, testing, observability, and performance strategies while mentoring engineers and driving AI-assisted development improvements.

Design, implement, and maintain scalable Java-based software solutions. Collaborate across the SDLC with stakeholders and development teams, integrate DevOps and CI/CD practices, support operational tasks, ensure security and performance, drive feature development, conduct code reviews, and stay current with emerging technologies.

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.

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.