FieldAI is seeking a DevOps Engineer in Irvine, California, to design, build, and maintain CI/CD pipelines and cloud-native, containerized infrastructure for robotics and AI systems. Based in Southern California’s robotics ecosystem, we develop risk-aware, reliable, field-ready AI that operates on real robots with real hardware across diverse environments.

Responsibilities include building and maintaining CI/CD pipelines using GitHub Actions; designing and managing cloud-native infrastructure with Kubernetes and Docker; deploying workloads across cloud and edge environments; improving developer workflows through automation and tooling; supporting testing, packaging, deployment, and observability; collaborating with robotics, ML, and platform engineering teams to improve reliability and scalability; and optimizing build systems and deployment workflows for complex engineering environments.

Requirements include a Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience), 3–7 years of experience in DevOps, Platform Engineering, Cloud Infrastructure, SRE, or related roles; strong experience with Kubernetes, Docker, and cloud-native infrastructure; experience building CI/CD systems in complex engineering environments; strong scripting or programming skills in Python, Bash, Go, or similar languages; solid understanding of Linux systems, networking, and distributed systems fundamentals; and strong problem-solving skills with ability to work effectively across multidisciplinary teams.

Preferred qualifications include experience sup

FieldAI is seeking a DevOps Engineer in Irvine, California, to design, build, and maintain CI/CD pipelines and cloud-native, containerized infrastructure for robotics and AI systems. Based in Southern California’s robotics ecosystem, we develop risk-aware, reliable, field-ready AI that operates on real robots with real hardware across diverse environments.

Responsibilities include building and maintaining CI/CD pipelines using GitHub Actions; designing and managing cloud-native infrastructure with Kubernetes and Docker; deploying workloads across cloud and edge environments; improving developer workflows through automation and tooling; supporting testing, packaging, deployment, and observability; collaborating with robotics, ML, and platform engineering teams to improve reliability and scalability; and optimizing build systems and deployment workflows for complex engineering environments.

Requirements include a Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience), 3–7 years of experience in DevOps, Platform Engineering, Cloud Infrastructure, SRE, or related roles; strong experience with Kubernetes, Docker, and cloud-native infrastructure; experience building CI/CD systems in complex engineering environments; strong scripting or programming skills in Python, Bash, Go, or similar languages; solid understanding of Linux systems, networking, and distributed systems fundamentals; and strong problem-solving skills with ability to work effectively across multidisciplinary teams.

Preferred qualifications include experience sup