Sr. Software Engineer, Backend – AI Platform

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
New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São
Paulo. 

THE ROLE

We are currently seeking a Senior Software Engineer, Backend to join the AI
Platform team, which powers intelligent experiences across our AI products.

As a Senior Software Engineer, you’ll design, build, and ship services across a
distributed microservices platform that supports capabilities such as document
extraction, portfolio chat, and semantic retrieval capabilities. You’ll work
across backend services, cloud-native data systems, async processing, and
real-time streaming infrastructure, collaborating closely with frontend,
product, and AI/ML engineers to deliver reliable and scalable backend systems.

This role is ideal for an engineer who thrives on solving hard backend problems,
writes clean and tested production code, and can own features end-to-end in a
fast-moving AI product team.

Applicants must have legal authorization to work in the country where this role
is based on the first day of employment. Visa sponsorship is not available for
this position.

WHAT YOU’LL DO

* Design, build, and maintain backend services that power AI Platform products
* Develop production systems in Python or other modern backend languages and
frameworks, with strong emphasis on maintainability, reliability, and
performance
* Build and evolve REST APIs and/or gRPC services, including request
validation, error handling, and versioning
* Design and maintain relational and/or NoSQL data models across systems such
as MySQL, PostgreSQL, DynamoDB, and Redis
* Build and maintain asynchronous processing flows using queues and
worker-based systems
* Work on real-time streaming features, retrieval workflows, and service
communication patterns that support AI interactions
* Write strong automated tests, including unit and integration coverage, and
contribute to CI-based quality gates
* Debug production issues across service boundaries using logs, metrics, and
system reasoning
* Collaborate closely with frontend, product, and AI/ML teams to define API
contracts and deliver end-to-end features
* Contribute to code reviews, system quality, and engineering standards across
the team

WHO YOU ARE

* Bachelor’s degree in Computer Science, Engineering, or related technical
field (or equivalent practical experience)
* At least five years of professional backend software engineering experience
in production environments
* Strong proficiency in at least one production backend language such as
Python, Go OR Java and the ability to work effectively across a polyglot
environment
* Strong software engineering fundamentals, including system design, debugging,
code quality, testing, and operational ownership.
* Experience building and maintaining REST APIs and/or gRPC services
* Experience with relational databases and/or NoSQL data stores in production
systems
* Experience with asynchronous processing patterns such as queues, workers,
retries, and failure handling
* Proficiency with Docker and familiarity with modern backend development
workflows
* Strong testing discipline, including unit testing, integration testing, and
mocking dependencies
* Experience building or operating services on cloud infrastructure in a
production context
* Strong communication and collaboration skills, with the ability to work
effectively across frontend, product, and AI/ML teams
* We are looking for a strong backend software engineer, not someone whose
experience is limited to scripting, framework usage, or cloud configuration
without corresponding depth in production systems engineering
* Familiarity or working knowledge of AWS will be a huge plus
* [Bonus] Experience with modern backend frameworks such as FastAPI, Flask,
Spring Boot, Go service frameworks, or equivalent
* [Bonus] Experience with Redis, WebSockets, or real-time streaming systems
* [Bonus] Experience with LLM/AI integration, semantic retrieval systems, or
token streaming
* [Bonus] Experience with observability tooling, structured logging, or
Sentry/metrics systems
* [Bonus] Experience in fintech or regulated domains

Our Values 

* Act Like an Owner - Think and operate with intention, purpose and care. Own
outcomes.
* Build Together - Collaborate to unlock the best solutions. Deliver lasting
value. 
* Champion Our Clients - Exceed client expectations. Our clients’ success is
our success. 
* Drive Innovation - Be bold and unconstrained in problem solving. Transform
the industry. 
* Embrace Learning - Engage our community to broaden our perspective. Bring a
growth mindset. 

In addition to our core values, Addepar is proud to be an equal opportunity
employer. We seek to bring together diverse ideas, experiences, skill sets,
perspectives, backgrounds and identities to drive innovative solutions. We
commit to promoting a welcoming environment where inclusion and belonging are
held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable
accommodation to participate in the job application or interview process, to
perform essential job functions, and to receive other benefits and privileges of
employment. Please contact us to request accommodation.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of
a phishing scam involving con artists posing as hiring managers recruiting via
email, text and social media. The imposters are creating misleading email
accounts, conducting remote “interviews,” and making fake job offers in order to
collect personal and financial information from unsuspecting individuals. Please
be aware that no job offers will be made from Addepar without a formal interview
process. Additionally, Addepar will not ask you to purchase equipment or
supplies as part of your onboarding process. If you have any questions, please
reach out to ta-operations@addepar.com [tainfo@addepar.com].