- San Jose, California, United States
- Hybrid
- Full-time · Manager
- $195K–$408K per year
- 10+ years
Design, build, and operate core components of a large-scale, real-time distributed decisioning system with strict latency requirements.
Compensation
For California Only — The estimated annual salary for this position is between $195,000 – $408,000 annually.
Responsibilities
- Design, build, and operate core components of a large-scale, real-time distributed decisioning system with strict latency requirements
- Take end-to-end ownership of specific subsystems: architecture, implementation, testing, deployment, on-call, and long-term evolution
- Build a working mental model of a highly distributed, complex production system, and make high-leverage contributions
- Identify opportunities to continuously evolve the system and tooling
- Partner with engineers and applied scientists working at the intersection of distributed systems and statistical/ML-driven decision-making
Requirements
- B.S. or M.S. in Computer Science, Engineering, or equivalent practical experience
- Nice to have: AI coding assistants
- Nice to have: Claude Code
- Nice to have: Cursor
- Nice to have: agentic engineering toolchain
