
Job Overview
Location
Pune, India
Job Type
Full-time
Category
Software Engineering
Date Posted
April 23, 2026
Full Job Description
📋 Description
- • As a Staff Software Engineer on the AI Platform team at Addepar, you will architect, build, and operate the backend and infrastructure systems that power AI-driven insights for investment professionals globally. This role is critical to enabling scalable, secure, and reliable AI experiences that help manage nearly $9 trillion in assets across 1,400+ firms in nearly 60 countries.
- • You will design and maintain distributed systems, build cloud-native infrastructure using Kubernetes/EKS and Terraform, develop CI/CD pipelines, ensure observability and security best practices, and collaborate with frontend, product, and AI/ML engineers to deliver high-performance platform capabilities.
- • Addepar is a global data and AI platform headquartered with offices in New York, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, and São Paulo, serving investment professionals by unifying portfolio, market, and client data into actionable intelligence through an open platform integrated with 650+ partners.
- • In this role, you will deepen your expertise in distributed systems, cloud infrastructure, and platform engineering while mentoring teammates, driving technical excellence, and shaping the long-term reliability and scalability of AI-powered financial technology.
Skills & Technologies
About Addepar Inc.
Addepar provides cloud-based portfolio data aggregation, analytics and reporting technology for wealth managers, family offices, private banks and large financial institutions. The platform ingests holdings from custodians, market data feeds and alternative asset administrators, normalizes the information, and delivers real-time performance, risk and exposure insights through dashboards and customizable reports. Addepar supports complex multi-asset, multi-currency portfolios and offers APIs for integration with downstream systems, enabling advisors to deliver transparent, data-driven advice to high-net-worth clients.
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