Top Tech Jobs & Startup Jobs in Mumbai

Design, build, and scale a centralized API-driven data validation platform. Develop high-throughput, real-time and batch validation pipelines, field- and cross-field rules, schema and integrity checks. Integrate with enterprise systems (CheckMate), ensure auditability, and enable distributed, parallel, and asynchronous processing. Collaborate with data, client services, and analytics teams and contribute to AI-driven capabilities like anomaly detection and LLM-based automation.

Manage enterprise identity and access across Okta and Microsoft platforms. Implement and maintain Okta SSO, OIG, Workflows, Entra/Azure AD, AD Domains and Group Policies. Support joiner/mover/leaver processes, application proxies, incident escalation, documentation, training, and project delivery. Provide second-line support, troubleshooting, and support employee experience initiatives.

Design, build, and operationalize a unified AI/ML data collection platform. Responsibilities include LLM/RAG pipelines, data ingestion, feature management, model lifecycle and deployment, observability, scalable distributed systems, and mentoring engineers to deliver production-ready ML solutions.

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.

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 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.