What You'll Do:- 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
What You Bring:- 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
What Sets You Apart:- 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
$125,000 - $170,000 a year
Our salary range is highly competitive with the market, but we take into consideration an individual's background and experience in determining final salary. Base pay offered may vary depending on geographic location, job-related knowledge, skills, and experience.
In addition to competitive compensation, FieldAI offers comprehensive benefits, equity participation, and the opportunity to contribute to cutting-edge advancements in AI and robotics.
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.