Top Tech Jobs & Startup Jobs in Mumbai

Manage and maintain Atlassian JIRA and Confluence, develop and maintain JQL, support Linux/Windows systems, assist with Active Directory and Office 365 apps, troubleshoot platform issues, and participate in an on-call rotation.

Lead index reconstitution, rebalancing, and methodology implementation across asset classes; manage a global quantitative team; drive data quality, automation, and AI-enabled analytics; engage stakeholders and support client communications.

Support month- and quarter-end close, produce timely regional financial reports, maintain internal controls for a U.S. public company, manage statutory reporting and audits, coordinate cross-border accounting across multiple legal entities, lead country and global transformation projects, and provide financial analysis and commentary to regional stakeholders.

Lead and mentor a multidisciplinary engineering and data science team to design, build, and operate scalable data collection pipelines and AI/ML systems. Provide technical oversight on NLP, LLMs, generative AI, MLOps, and unstructured data processing. Collaborate cross-functionally to align solutions with business goals, ensure system reliability, security, and compliance, and drive hiring and process improvements.

Design, deploy, and manage secure, scalable VDI infrastructure (AVS and AVD). Create and optimize master images, apply patches, monitor performance, implement backup and disaster recovery, troubleshoot VDI issues, ensure security and compliance, collaborate with central tech teams, and produce operational and audit documentation.

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.

Design, build, and maintain AI agents and cloud-based AI applications using Microsoft Copilot Studio and AWS Bedrock. Develop backend services and APIs in Python, implement RAG and vector-database solutions, follow CI/CD and Agile practices, and support platform modernization and AI adoption across the organization.

Analyze credit risk of CMBS by reviewing deal documents, setting up net cashflow models, and monitoring pool and property performance. Collect and analyze data, identify risk drivers, prepare reports, liaise with operations and tech, ensure compliance, and support rating processes and special projects.

Support global credit analysts on REITs by monitoring news, maintaining financial and industry data, preparing and updating financial models, summarizing credit/legal documents, and assisting with credit memos and operational databases to support the rating process.

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.