Software Engineer, DevOps (Web Platform)
Quick Summary
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,
FieldAI is building web-based products that power real-world robotic deployments. As our systems scale, ensuring reliable releases and stable production environments is critical.
We’re looking for a DevOps Engineer, Web Platform to own release reliability, deployment systems, and production stability across our web stack. You will ensure that new features ship safely, systems scale cleanly, and production issues are caught before they impact customers.
This is a hands-on role focused on CI/CD, testing infrastructure, and Kubernetes-based deployments — working closely with full-stack and production teams to keep our systems fast, reliable, and continuously improving.
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
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
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
Location & Eligibility
Listing Details
- Posted
- April 9, 2026
- First seen
- April 9, 2026
- Last seen
- April 28, 2026
Posting Health
- Days active
- 18
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- April 28, 2026
Signal breakdown

Field AI develops field-proven embodied artificial intelligence (AI) technology, specifically Field Foundation Models™ (FFMs), to enable robots to operate autonomously in complex, real-world environments across various industries.
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