Top Tech Jobs & Startup Jobs in Mumbai

Design and implement backend services primarily with Java and Spring Boot, while supporting Angular frontend development. Build scalable RESTful APIs, optimize complex transactional SQL on Oracle or PostgreSQL, and use JPA/Hibernate. Help modernize legacy, database-centric systems toward domain-driven architecture, apply software design patterns, and collaborate with cross-functional squads to deliver high-quality features.

Lead complex technical programs spanning product integration and AWS-to-GCP cloud migration. Coordinate distributed engineering, cloud, data, testing, and product teams; manage workstreams, dependencies, milestones, risks, validation, reconciliation, releases, and production cutovers. Translate high-level goals into execution plans, unblock technical issues, track roadmaps and backlogs, and communicate progress and risks to senior stakeholders. The role requires strong software architecture knowledge, cloud expertise, and executive-level program coordination.

Own infrastructure-as-code and CI/CD deployment pipelines while developing backend integration services for a large-scale identity and entitlement platform. Responsibilities include migrating CRM dependencies to backward-compatible APIs, integrating entitlement systems, supporting cutovers and rollback readiness, validating permissions, assisting data migration, and supporting QA and UAT. The role is fully remote, based in India, and requires strong DevOps, Golang, Node.js, Terraform, and microservices experience.

Lead a development squad while remaining hands-on building Java and Spring Boot backend services and Angular frontend applications. Design RESTful APIs, Kafka integrations, relational database solutions, and domain-driven architectures with bounded contexts. Mentor junior engineers, guide agile delivery, maintain engineering standards, modernize legacy systems, and advocate for scalable software design and architectural integrity.

Lead complex technical programs spanning product integration and AWS-to-GCP cloud migration. Translate strategic goals into technical workstreams, milestones, dependencies, and execution plans. Coordinate engineering, testing, data, cloud, and product teams; manage risks, blockers, validation, parallel runs, reconciliation, cutover readiness, and production delivery. Communicate progress and risks to senior stakeholders while supporting distributed teams across India and North America.

Design and optimize scalable ETL/ELT pipelines using Databricks, PySpark, SQL, GCP, BigQuery, and Delta Lake. Build agentic workflows that automate data validation, troubleshooting, issue identification, and operational processes. Develop reusable frameworks, implement data quality and production controls, optimize workloads, and support testing, deployment, monitoring, and production support. Collaborate with business, data engineering, and platform teams to identify automation opportunities.