Job Summary
AI is reshaping how we build. As development becomes faster, the challenge shifts to making strong technical decisions, designing scalable systems, and shipping high-quality software quickly.
We’re looking for a highly hands-on Full Stack Engineer who enjoys building end-to-end products, collaborating across teams, and using AI tools to accelerate development and iteration.
Responsibilities
- Drive implementation of product features and contribute to system design decisions
- Translate ambiguous problems into scalable, production-ready solutions
- Design and build backend services, APIs, and event-driven systems
- Write high-quality, production-ready code across the stack
- Collaborate effectively with Product, Design, Data, and Engineering teams to unblock progress and align on technical direction
- Make pragmatic tradeoffs across speed, scalability, and maintainability
- Improve reliability through testing, observability, and performance optimizations
- Participate actively in code reviews, both as author and reviewer
- Use AI tools to prototype, build, and debug more efficiently
- Other duties as assigned
Qualifications
- Bachelor’s degree in a relevant field or equivalent practical experience
- 3+ years building and shipping production applications
- Solid fundamentals in system design and backend architecture
- Experience working in fast-paced, ambiguous environments
- Bias toward shipping quickly and learning from real user feedback
- Strong collaboration skills and ability to work across teams
- Experience integrating or building AI-powered systems or workflows is an asset
Tech Stack
- Backend: Python (FastAPI), async, SQLAlchemy, Postgres
- Event-driven systems + Redis (Streams/PubSub)
- Frontend: React + TypeScript, modern stack (Vite, Tailwind, shadcn/ui), REST and GraphQL APIs
- State/data: TanStack Query; validation (Pydantic)
- Infra: Docker, Kubernetes (GKE), CI/CD (GitHub Actions), GCP
Bonus
- Experience with RBAC / row-level security
- Familiarity with deep event-driven or pub/sub experience
- Experience building internal tools or platforms
- Exposure to observability and performance systems
Pay Scale
- $100,000 - $130,000 per year
- The final compensation within this range will be determined based on the candidate’s experience, skills, and overall fit for the role.
Fair Chance Policy
In accordance with the Los Angeles County Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories. We evaluate candidates based on their qualifications and the nature of the offense in relation to the job for which they are applying.