Top Engineering Jobs in Mumbai, MH

Design, develop, and maintain cloud-native features and APIs, ensuring performance and scalability. Write clean, tested code, optimize systems, document changes, and collaborate with product, QA, and senior engineers within Agile/Scrum processes.

Lead engineering and hands-on development for Finance platform automation: design scalable cloud-native integrations across Finance, Sales, and Customer Success systems; mentor engineers; drive architecture, automation, test coverage, and security; partner with product and business teams to deliver reliable, high-performance automation and data solutions.

Lead a squad to design, build, and operate scalable full-stack applications (backend-focused Java/Spring Boot). Own delivery end-to-end, mentor engineers, improve engineering quality, drive CI/CD/observability, modernize legacy systems, and collaborate with product and stakeholders to deliver reliable, production-ready solutions.

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.

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.

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.

Design, configure, and enhance ServiceNow applications (HRSD, HAM, SAM, CMDB, ITSM) including integrations, data migrations, reports, and service catalog. Build scripts, run ATF tests, develop dashboards, maintain security/release updates, and collaborate with stakeholders to optimize ServiceNow solutions and ensure operational stability.

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.