Role Summary 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.

What You'll Do

• Build, operate, and evolve on-premise and cloud infrastructure supporting AI/ML development and robotics programs
• Deploy and manage AWS environments including IAM, EC2, VPCs, and S3
• Install, configure, and troubleshoot physical servers, networking equipment, and storage systems
• Implement and maintain infrastructure-as-code (Terraform, Ansible, Puppet, Chef, etc.)
• Support on-prem Kubernetes clusters (clusteradm, Kops) and GitOps workflows (ArgoCD, Flux, Spinnaker)
• Develop CI/CD pipelines using GitLab or GitHub Actions
• 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

Required Qualifications

• 5+ years in infrastructure engineering, DevOps, SRE, or systems engineering
• Experience with AWS orchestration and deployments at scale
• 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 switches, routing, VPNs, WAN/wireless systems
• Proficiency with infrastructure-as-code tooling (Terraform, Ansible, Puppet, Chef, etc.)
• Experience with Kubernetes and GitOps systems
• CI/CD experience with GitLab, GitHub Actions, or similar platforms
• Ability to program in Python, Go, Rust, or a similar language (in addition to shell)
• Experience with observability and monitoring stacks
• Excellent documentation, communication, and collaboration skills

Nice to Have

• 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

Other Requirements

• 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

Benefits

• Competitive salary: $130K – $225K annually
• Equity compensation
• Best-in-class healthcare, dental, and vision plans
• Unlimited PTO
• 401(k) with company match
• Parental leave