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.
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.
- 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
- 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 [email protected].
