Top Tech Jobs & Startup Jobs in Mumbai

Define and execute testing strategy for API/UI/mobile features, create manual and automated test scripts, maintain automation frameworks, integrate tests into CI, perform functional/integration/nonfunctional testing, identify risks, and collaborate on QE environments and dependencies.

Lead a team to design, build and maintain Spring Boot microservices (Java 17+) for e-commerce order and supply chain systems. Drive API design, code quality (Sonar, unit tests), CI/CD, integration with queues/databases (Kafka/JMS, Oracle/Cassandra), search (Solr), and collaborate with cross-functional teams to ensure scalable, transactional customer-facing solutions.

Production support for trading applications on AWS, working rotational shifts. Monitor overnight batch jobs; use AWS (EC2, S3, Kubernetes, CloudWatch) and monitoring tools (Datadog, Grafana, Prometheus). Basic SQL and Control-M/Autosys experience are preferred.

Design, build, and operate scalable microservices: develop RESTful APIs, ensure code quality and CI/CD, optimize performance, integrate storage solutions, and support cross-team collaboration and troubleshooting.

Develop and maintain high-performance mobile applications using Vue.js and Capacitor.js, integrate RESTful APIs and third-party services, optimize for mobile performance, collaborate with cross-functional teams, debug and resolve issues, and follow best practices in code quality and deployment across iOS and Android.

Design and architect full‑stack solutions, lead technical decisions, develop RESTful APIs, implement cloud and containerized deployments, enable CI/CD, integrate messaging systems and both SQL/NoSQL databases, and enforce SOLID principles across the stack.

Build and maintain Angular 16+ web applications, integrate RESTful APIs, ensure UI/UX feasibility, optimize performance, write testable code, conduct code reviews, debug issues, and follow best practices and CI/CD workflows.

Design, implement and maintain infrastructure (on-premises and cloud), automate operational tasks, secure networks, resolve incidents, optimize ELK clusters, deploy and manage Kubernetes, collaborate with engineering to improve resilience and research emerging technologies.

Collect, clean, analyze, and integrate data from multiple sources, perform quality checks, run statistical and exploratory analyses, build dashboards and reports (SSRS, Power BI), communicate insights to stakeholders, and support data governance and data management initiatives.

Lead Pega Decisioning Architect responsible for designing, developing, and maintaining Pega-based decisioning solutions. Own implementation of decisioning logic, performance tuning, compliance, full SDLC in Agile, and mentor Pega teams. Integrate Pega with enterprise systems and drive continuous improvement of decisioning capabilities.