Infrastructure Engineer

Overland AI•Seattle, WA

131d•$130,000 - $225,000•Hybrid

About The Position

Overland AI is looking for an experienced Infrastructure Engineer to help design, build, and operate the systems that power our AI model training, experiment management, and robotic deployments. This role spans on-premise environments, cloud infrastructure, networking, and automation. You’ll work hands-on with servers, storage, firewalls, wireless equipment, and high-performance compute resources—while also developing scalable tooling that improves reliability, observability, and developer velocity. The ideal candidate has 5+ years of experience in infrastructure engineering, DevOps, SRE, or systems engineering, with deep knowledge of on-prem environments, AWS deployments at scale, and modern infrastructure-as-code and automation practices.

Requirements

5+ years in DevOps, SRE, infrastructure engineering, or systems engineering
Experience with AWS orchestration and deployments at scale
CI/CD experience with GitLab, GitHub Actions, or similar platforms
Proficiency with infrastructure-as-code tooling (Terraform, Ansible, Puppet, Chef, etc.)
Experience with Kubernetes and GitOps patterns
Experience with observability and monitoring stacks
Experience with on-prem hardware environments (VMWare, Proxmox, or equivalent)
Hands-on experience building and troubleshooting physical servers and networks
Strong Linux administration skills
Deep understanding of networking: firewalls, L3 switching, routing, VPNs, WAN/wireless systems
Ability to program in Python, Go, Rust, or a similar language (in addition to shell)
Excellent documentation, communication, and collaboration skills

Nice To Haves

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

Responsibilities

Build, operate, and evolve on-premise and cloud infrastructure supporting AI/ML development and robotics programs
Develop CI/CD pipelines using GitLab or GitHub Actions
Deploy and manage AWS environments including IAM, EC2, VPCs, and S3
Implement and maintain infrastructure-as-code (Terraform, Ansible, Puppet, Chef, etc.)
Install, configure, and troubleshoot physical servers, networking equipment, and storage systems
Support Kubernetes clusters (clusteradm, Kops, EKS) and GitOps workflows (ArgoCD, Flux, Spinnaker)
Build custom automation and internal infrastructure tooling
Manage observability stacks (Prometheus/Grafana, ELK, Datadog, etc.)
Partner closely with engineering teams to ensure reliability, security, and efficient scaling
Document systems, processes, and runbooks to support local and remote teams