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Field AI

Industry:
Robotics
Location:
Job Type:
Software
DevOps Engineer, Web Platform
Job Description:
FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
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

    • Bonus Qualifications:

  • 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

    • Apply on Field AI Website
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