Top Tech Jobs & Startup Jobs in Mumbai

Quality Assurance Manager role at Morningstar India with a hybrid work model (typically four days in-office). The posting provides workplace/benefits context but no duties or qualifications are listed.

Develop, deploy, and maintain client-ready Level 3 reports and correction tools using Python, SQL, Excel, and AWS. Automate tasks, validate data quality, build AI-driven reporting agents, collaborate with cross-functional teams, and document report generation and correction workflows.

Design and implement high-complexity full-stack solutions using .NET and modern JavaScript frameworks. Build microservices, REST APIs, and ETL processes; collaborate with global product teams, troubleshoot issues, propose enhancements, and promote AI-assisted development practices.

Design, develop, and execute automated test frameworks and test cases for Morningstar Indexes applications. Integrate automation into CI/CD, collaborate with tech and business teams on enhancements, document issues, assist in RCA, and participate in agile ceremonies. Ensure coverage across UI, backend, database, and web services.

Design and implement automation strategy and frameworks for Indexes applications. Develop automated test cases across UI, services, and databases; integrate tests into CI/CD; coordinate testing with tech and business teams; document issues, perform RCA, and improve testing processes.

Lead and manage a development team to design, implement, test, and maintain full-stack .NET-based applications on AWS. Drive architecture and technical decisions, enforce coding standards, collaborate with product and architecture teams, mentor developers, and use Agile practices to deliver features and improve team performance.

Develop and improve digital products using .NET Core and related frameworks. Implement features, fix issues, collaborate with global product teams, research solutions, and follow development best practices.

Develop and launch benchmark indexes across asset classes: validate and curate data, design methodologies, collaborate with research and product teams, and operationalize index implementations throughout the product lifecycle.