Top Tech Jobs & Startup Jobs in Mumbai

Own end-to-end machine learning for ecommerce discovery, including recommendation and ranking models, low-latency Python serving, batch pipelines, A/B testing, and production deployments. Operate containerized services on Kubernetes, monitor systems, and extend LLM-powered shopping and catalog applications. The role requires strong recommender systems, search ranking, embeddings, vector databases, streaming, and production ML experience.

Leads the vision, strategy, roadmap, and growth of Maropost’s Commerce Cloud platform. Oversees storefront, checkout, catalog, order management, AI, and personalization initiatives while managing Product Managers and Product Owners. Partners with Engineering and cross-functional executives to deliver measurable customer and business outcomes, including adoption, retention, activation, and GMV growth. Requires extensive product leadership experience in commerce, ecommerce infrastructure, retail technology, or B2B SaaS, plus experience building AI-powered product capabilities and scaling product teams.

Build scalable, high-performance backend systems using primarily Golang and Python. Own features end to end, contribute to distributed microservices architecture and system design, develop event-driven components for high-volume messaging and e-commerce workloads, conduct code reviews, troubleshoot production issues, support CI/CD deployments, and document technical specifications and APIs.

Build and maintain backend applications in Scala, including refactoring, architecture and API design, SQL schema modeling, message-based systems, testing, code reviews, and CI/CD. Collaborate cross-functionally on technical specifications, infrastructure, process improvements, and continuous learning. The role uses Apache Pulsar, Kubernetes, CircleCI, and ArgoCD, with emphasis on reliable, readable code and backend application development rather than data engineering.

Design, build, and operate scalable data engineering services and ingestion pipelines (CDC/streaming). Develop and optimize a centralized analytics warehouse, data models, and aggregation strategies. Build APIs, enforce multi-tenant security and data governance, monitor pipeline health, improve automation and observability, and ensure production reliability through strong engineering practices.