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DevOps Engineer, Web Platform

FieldAI· Engineering – Web Engineering
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Hybrid (Irvine, CA)$125k - $170kFull-timePosted 3mo ago

About the role

FieldAI’s Irvine team builds risk-aware, reliable, field-ready AI systems for robotics, deploying solutions on real hardware and in the field.

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

Qualifications

  • 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

Skills

Required:CI/CD pipeline design and maintenanceAWSDockerKubernetesNode.jsTypeScriptReact
Nice to have:Observability/Monitoring

Benefits

  • comprehensive benefits
  • equity participation
  • opportunity to contribute to AI and robotics advancements
Last updated Oct 22, 2026. Interested? Apply on the company site.

About FieldAI

Robot intelligence built for the real-world.

FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing a universal brain that works across many robots, and many tasks.

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