Who We Are
Addepar is a global data and AI platform empowering investment professionals to
turn complex financial information into actionable intelligence. Addepar unifies
portfolio, market and client data in a total portfolio view and delivers
AI-powered insights within investment and client workflows. More than 1,400
firms in nearly 60 countries use Addepar to manage and advise on nearly $9
trillion in assets. Its open platform integrates with nearly 650 software, data
and consulting partners to power end-to-end investment operations across firms
of all sizes and complexity. Addepar supports clients worldwide with offices in
Current York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore
and São Paulo.
THE ROLE
We are currently seeking a Staff Software Engineer, Infrastructure to join the
AI Platform team that powers seamless insights and interaction through natural
language and data intelligence across our AI products.
As a Staff Software Engineer, you’ll architect, build, and operate the backend
and platform systems that power AI Platform.
You’ll work across service design,
distributed systems, cloud infrastructure, event-driven processing,
observability, CI/CD, and production reliability, helping shape the technical
direction of a platform that supports scalable, client-facing AI experiences.
This role requires a strong software engineering foundation combined with deep
infrastructure and systems thinking. We are looking for an engineer who can
write high-quality production code, make sound architectural tradeoffs, and own
platform capabilities end-to-end — not someone focused only on scripting, cloud
configuration, or infrastructure tooling in isolation.
You will collaborate closely with frontend, product, and AI/ML engineers to
deliver reliable, secure, and scalable systems that align with Addepar’s
standards of performance, resilience, and trust.
Applicants must have legal authorization to work in the country where this role
is based
📌 Staff Software Engineer – AI Platform (Pune)
🏢 Addepar
📍 Pune