- Robot type
- Robot AI and Software
- Location
- IrvineCaliforniaUSA
- Job type
- Software
- Posted
- Aug 27, 2026
Full-time
DevOps Engineer, Web Platform
Job description
Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence.
Job responsibilities
- Own and improve CI/CD pipelines for web services and applications (Node.js, React)
- Design and maintain release processes that ensure safe, reliable deployments
- Build and enforce testing and validation workflows to catch issues before production
- Manage and scale containerized infrastructure (Docker, Kubernetes) in AWS
- Monitor system performance, reliability, and uptime across production environments
- Partner with full-stack engineers to improve deployment velocity and system stability
- Debug and resolve production issues across application, infrastructure, and deployment layers
- Improve observability, logging, and alerting to proactively detect failures
Job requirements
- 3–8 years of experience in DevOps, infrastructure, or production engineering roles
- Strong experience with AWS and containerized environments (Docker, Kubernetes)
- Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions or similar)
- Familiarity with modern web stacks (Node.js, TypeScript, React)
- Experience managing production systems and debugging real-world issues
- Understanding of testing strategies for release reliability and system validation
- Strong ownership mindset with a focus on system stability and quality
- Ability to work cross-functionally with engineering teams
- Experience owning release processes and production readiness for web applications
- Experience improving system reliability, uptime, and deployment safety at scale
- Familiarity with MongoDB or similar databases in production environments
- Experience building internal tooling to improve developer workflows
- Experience in fast-paced startup environments
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