Overland AI
Infrastructure Engineer
$130K–$225K
San Francisco, CA +1 · On-site · Full-time · Posted Feb 23, 2026
- Location
- San Francisco, CA
Seattle, WA - Experience
- 6+ years in Platform Engineering, DevOps, DevSecOps, or SRE.
About the job
Build and secure cloud and on-prem infrastructure supporting AI training, robotics development, and field deployments.
What you'll do
- Operate infrastructure platforms and AWS services across cloud, datacenter, and field environments.
- Build secure CI/CD pipelines, DevSecOps controls, Kubernetes platforms, and GitOps workflows.
- Automate infrastructure and improve observability, reliability, security, and engineering productivity.
What they ask for
- Production Kubernetes operations and GitOps workflow experience.
- Experience building CI/CD pipelines and integrating DevSecOps tooling.
- Experience deploying and operating AWS infrastructure and supporting Linux production systems.
- Proficiency in Python, Go, Rust, or a similar programming language.
Nice to have
- Familiarity with experiment tracking, ML infrastructure, or data visualization tooling.
- Experience with hardware or embedded systems, field wireless/WAN infrastructure, or ML/AI, HPC, or robotics environments.
Pay
$130,000 - $225,000 USD annually (base salary)
Tools
Kubernetes, EKS, OpenShift, ArgoCD, Terraform, Ansible, Python, AWS
AI focus
Build and operate infrastructure supporting AI model training and ML/AI workloads.
Model-written summary · the original posting is authoritative