- Robot type
- Autonomous Vehicle · Defense
- Location
- SeattleWashingtonUSA
- Job type
- Software
- Posted
- Feb 23, 2026
Full-time
Infrastructure Engineer
Job description
This role spans infrastructure, Kubernetes, secure software delivery, CI/CD, and automation. You'll have a track record of GitOps workflows, and automation tooling to improve reliability, scalability, security, and engineering productivity. We value engineers who are excited to work outside traditional role boundaries. One day you may be debugging Kubernetes, the next writing Python tooling, helping deploy infrastructure, or improving our software supply chain security posture.
Overland AI is building off-road autonomy, and our software infrastructure is the backbone that enables our teams to move fast, experiment safely, and ship mission-critical systems.
Job responsibilities
- Build and operate the cloud and on-prem platforms that support AI model training, robotics development, and field deployments.
- Develop secure CI/CD pipelines and DevSecOps capabilities, including automated testing, security scanning, and software supply chain controls.
- Design and maintain Kubernetes platforms and GitOps workflows using technologies such as EKS, OpenShift, and ArgoCD.
- Build infrastructure and automation using Terraform, Ansible, and Python to improve developer productivity and operational efficiency.
- Deploy and manage AWS infrastructure, including networking, identity, compute, and storage services.
- Design and maintain observability, logging, and monitoring systems to improve reliability and incident response.
- Partner with engineering teams to deliver secure, scalable, and reliable infrastructure across cloud, datacenter, and field environments.
- 6+ years of experience in Platform Engineering, DevOps, DevSecOps, or SRE.
Job requirements
- Familiarity with experiment tracking, ML infrastructure, or data visualization tooling
- Experience integrating hardware or embedded systems
- Experience deploying or supporting wireless/WAN infrastructure in field, test, or event environments
- Familiarity with ML/AI infrastructure, high-performance compute clusters, or robotics-focused environments
- Ability to travel in-state, including occasional long days during deployments or testing
- Ability to travel out-of-state for ~1–2 weeks per year
- Ability to work onsite in our Seattle office at least 3 days per week
- Ability to participate in 24x7 on-call rotation