Experience:

• At least five years of professional backend software engineering experience in production environments

Qualification:

• Bachelor’s degree in Computer Science, Engineering, or related technical field or equivalent practical experience

Responsibilities:

• Design, build, and maintain backend services powering AI Platform products
• Develop production systems with emphasis on maintainability, reliability, and performance
• Build and evolve REST APIs and/or gRPC services including validation, error handling, and versioning
• Design and maintain relational and NoSQL data models
• Build and maintain asynchronous processing flows using queues and worker systems
• Work on real-time streaming features and service communication patterns supporting AI interactions
• Write strong automated tests including unit and integration coverage
• Debug production issues using logs, metrics, and system reasoning
• Collaborate with frontend, product, and AI/ML teams to define API contracts and deliver features
• Contribute to code reviews, system quality, and engineering standards

Additional responsibilities:

• Own features end-to-end in a fast-moving AI product team
• Work effectively across a polyglot backend environment
• Ensure strong software engineering fundamentals including system design, debugging, code quality, testing, and operational ownership
• Communicate and collaborate effectively across teams

Nice to have:

• Familiarity or working knowledge of AWS
• Experience with modern backend frameworks such as FastAPI, Flask, Spring Boot, Go service frameworks
• Experience with Redis, WebSockets, or real-time streaming systems
• Experience with LLM/AI integration, semantic retrieval systems, or token streaming
• Experience with observability tooling, structured logging, or Sentry/metrics systems
• Experience in fintech or regulated domains

More skills:

gRPC services, Redis, asynchronous processing, queues, worker-based systems, real-time streaming, unit testing, integration testing, mocking dependencies, cloud infrastructure

Other:

• Applicants must have legal authorization to work in the country on first day; no visa sponsorship available
• Addepar values include ownership, collaboration, client focus, innovation, and learning
• Addepar is an equal opportunity employer committed to diversity, inclusion, and reasonable accommodation
• Warning about phishing scams impersonating Addepar recruiters