4 days ago
Responsibilities
- Design, build, and operate backend services and data pipelines for AI products.
- Own the full lifecycle of platform services from architecture to maintenance.
- Engineer highly available and fault-tolerant systems with deep observability.
- Create modular architectures and clean APIs with a focus on optimization.
- Collaborate with engineering, product, and ML research teams to enhance platform capabilities.
Requirements
- 3+ years of experience in building and scaling production backend services.
- Proficiency in languages common in the AI/Data ecosystem (e.g., Python, Go, Rust, C++).
- Deep understanding of distributed systems, consistency, and availability.
- Experience designing intuitive and maintainable APIs.
- Track record of owning services with real uptime expectations.
Benefits
- Competitive salary plus equity.
- Daily lunches.
- Commuter benefits.
- 401(k) plan.
- Medical, Dental, and Vision insurance.
- Unlimited PTO.