Infrastructure Engineer

Overland AI; Seattle (WA); On-site; USD 130,000 - 225,000; Full time

Benefits offered by this job

Competitive salary: $130K – $225K annually

Equity compensation

Best-in-class healthcare, dental, and vision plans

Unlimited PTO

401(k) with company match

Parental leave

Job summary

Overland AI in Seattle is seeking an experienced Infrastructure Engineer to design and manage systems for AI model training and robotic deployments. The role requires strong expertise in AWS, DevOps practices, and infrastructure automation tools.

The ideal candidate will have over 5 years of experience and a solid foundation in Linux administration, Kubernetes, and networking. This position offers competitive salary packages and a collaborative work environment.

Qualifications

• 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).
• Strong Linux administration skills.

Responsibilities

• Build, operate, and evolve on-premise and cloud infrastructure supporting AI/ML development.
• Implement and maintain infrastructure-as-code.
• Manage observability stacks (Prometheus/Grafana, ELK, Datadog).
• Document systems, processes, and runbooks.

Skills

DevOps

AWS deployments

Infrastructure-as-Code

Kubernetes

Linux administration

Python programming

Network troubleshooting

Tools

Terraform

Ansible

Prometheus/Grafana

GitLab

AWS

Job description

Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field‑test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off‑road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success.

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
• 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

Minimum Qualifications

• 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

Desired Experience And Qualifications

• 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
• Ability to participate in 24x7 on‑call rotation
• Ability to obtain and maintain a DoD Security Clearance

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

Overland AI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, age, marital status, disability, genetic information, protected veteran or military status, or any other status protected by applicable law.

This position may involve access to export‑controlled technology. Employment is contingent on the ability to comply with U.S. export control laws.

Overland AI provides reasonable accommodations for qualified individuals with disabilities and disabled veterans during the application process. Please contact [e-mail] to request an accommodation.