Top Tech Jobs & Startup Jobs in Mumbai

Lead day-to-day Salesforce administration for the Mumbai RevOps team: configure objects/fields, automate processes, manage users/licenses, support sandbox and deployments, maintain documentation, troubleshoot issues, and drive data quality while aligning with global governance.

Lead and hands-on build cloud-native, microservice-based systems for the PitchBook platform. Drive architecture and design, implement testable scalable code, define non-functional requirements, mentor engineers, collaborate with architects and stakeholders, and deliver end-to-end initiatives while promoting engineering best practices and continual improvement.

Lead and grow an engineering team building backend automation for Sales, Customer Success, and Finance systems. Drive architecture, integrations, test automation, CI/CD, cloud-native delivery, and performance while collaborating with product and business stakeholders to deliver scalable, reliable revenue platform solutions.

Lead product strategy and roadmaps for Retirement Manager. Drive cross-functional initiatives from discovery through launch, engage clients and industry stakeholders, use data to measure outcomes, and improve customer experience and retirement results.

Validate, maintain, and onboard equity and cross-asset research data for index construction. Implement data validation checks, perform monthly and historical data QA, run UAT for pipelines, build data dictionaries and dashboards, automate processes, and collaborate with vendors, engineering, and research to resolve data issues.

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.

Design, build, and operate high-throughput Python services, REST APIs, and data pipelines for index and fund products. Optimize large-scale data processing (Pandas/NumPy), ensure reliability and observability on AWS, write tests with pytest, tune PostgreSQL, and participate in architecture, performance, and production operations. Lead candidates mentor engineers and drive technical delivery.

Perform quantitative and qualitative research on loans/properties backing RMBS and other structured finance transactions; review deal documents and periodic data; set up templates and reports; monitor pool/property performance; identify and analyze risk factors and default scenarios; liaise with operations and technology teams; support ratings work and ensure compliance with policies.

Build and productionize ML and generative AI solutions for marketing: data pipelines, modeling, RAG/embedding workflows, automation agents, integrations, monitoring, and documentation.

Monitor and analyze security alerts in a 24x7 SOC, triage and respond to incidents, assess impact, operationalize detection methods, and generate technical and non-technical reports.