Top Tech Jobs & Startup Jobs in Mumbai

Develop, design, and maintain Java applications and microservices using Spring Boot and WebFlux. Build RESTful APIs, integrate with Kafka, write unit tests, participate in code reviews, troubleshoot issues, and stay current with Java technologies.

Lead STIBO STEP PIM application work (Item, Location, Vendor portals) including configuration, custom development, integrations, business rules, workflows, performance testing, upgrades, and production support while ensuring security and scalable solutions.

Develop and maintain web applications using Angular. Implement user interfaces, collaborate with cross-functional teams, write tests, optimize performance, and follow frontend best practices to deliver responsive, accessible applications.

Senior front-end developer responsible for Angular-based UI development, building responsive web components, implementing CI/CD and automated testing, collaborating on distributed agile teams, and integrating with backend Java/Spring Boot REST services. Must ensure cross-browser compatibility and use modern tooling (Git, Jenkins, Docker, testing frameworks).

Manage and optimize Oracle databases, perform backups and recovery, tune performance, handle Data Guard and RAC configurations, support GoldenGate setups and troubleshooting, coordinate with sysDBA and product teams, and raise/follow Oracle support requests.

Develop backend services using Java/J2EE and Spring Boot. Design microservices (HL/LL), implement cloud infrastructure, integrate via MQ/Kafka/REST, enforce security (JWT/OAuth/Kerberos), use CI/CD (Maven, Docker, Jenkins), and work with SQL.

Lead architecture, design, and delivery of scalable applications using Vue.js, Node.js, and Java. Provide technical leadership, enforce coding standards, implement test automation (Jest, Playwright), perform performance optimizations, mentor engineers, and collaborate with global/onshore teams to drive features from development through production.

Lead and support cloud platform automation and DevOps capabilities: estimate and plan automation, implement infrastructure and release automation on Azure, design DevSecOps pipelines, mentor junior engineers, act as SME, and collaborate with architects and data scientists across global teams.

Develop and optimize data pipelines and transformations on AWS, participate in proofs of concept for data patterns, enhance existing feeds, and work with streaming, ETL/ELT tools and databases.

Design and implement relational and NoSQL data models, build and optimize SQL-based ETL, develop Snowflake data pipelines, create Python data processing scripts, use AWS for cloud data infrastructure, and collaborate with data scientists and engineers to ensure data accuracy and insights.