Related skills
docker python kubernetes go typescriptπ Description
- Lead design/architecture of secure, scalable AI platforms and proxies.
- Own platform initiatives end-to-end: strategy, design, deployment, evolution.
- Onboard frontier models and expand compute resources.
- Optimize proxy systems for performance, security, logging, and control.
- Mentor engineers and drive cross-functional collaboration.
- Define lean, secure applied AI practices and turn ideas into deployed software.
π― Requirements
- Bachelors degree in CS/CE or 5+ yrs prod software; OR 7+ yrs w/o degree.
- 5+ yrs building production software; or 7+ yrs w/o degree.
- Experience developing and operating production AI platforms or large backend systems.
- Docker, Kubernetes, security architecture, and cloud/frontend model integrations.
- Python proficiency; knowledge of Go/Java/TypeScript/Rust.
- Infrastructure-as-Code, CI/CD, and reliable distributed systems experience.
π Benefits
- Stock-based incentives and Employee Stock Purchase Plan.
- Medical, vision, and dental coverage.
- 401(k) retirement plan with benefits.
- Paid vacation, holidays, and parental leave.
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