Robotics DevOps Engineer: Cloud & Field Deployment

FieldAI; Peoria (IL); On-site; USD 115,000 - 170,000; Full time

Job summary

FieldAI’s Irvine team builds risk-aware, field-ready AI systems for embodied robotics, with a strong emphasis on testing on hardware and real deployments. You will work across robotics, ML, and platform engineering to ship reliable, scalable infrastructure.

The role centers on DevOps, platform engineering, and cloud-native infrastructure, collaborating with cross-functional teams to improve deployment workflows and observability. Irvine, CA-based with a market-competitive salary.

Qualifications

• 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 and maintaining 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.
• Strong problem-solving skills and ability to work effectively across multidisciplinary teams.

Responsibilities

• Build and maintain CI/CD pipelines across robotics, AI, and software systems using tools such as GitHub Actions.
• Design and manage cloud-native, containerized infrastructure using Kubernetes, Docker, and related technologies.
• Deploy and support workloads across cloud and edge environments.
• Improve developer workflows through automation, tooling, and infrastructure enhancements.
• Support testing, packaging, deployment, and observability for distributed robotics and AI systems.
• Collaborate cross-functionally with robotics, ML, and platform engineering teams to improve reliability and scalability.
• Optimize build systems, monorepos, and deployment workflows for complex engineering environments.

Skills

Kubernetes

Docker

CI/CD pipelines

Python scripting

Linux systems

Distributed systems

Education

Bachelors degree

Tools

GitHub Actions

Terraform

Helm

ArgoCD

Job description

FieldAI’s Irvine team builds risk-aware, field-ready AI systems for embodied robotics, with a strong emphasis on testing on hardware and real deployments. You will work across robotics, ML, and platform engineering to ship reliable, scalable infrastructure.

The role centers on DevOps, platform engineering, and cloud-native infrastructure, collaborating with cross-functional teams to improve deployment workflows and observability. Irvine, CA-based with a market-competitive salary.