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Infrastructure Engineer Overland AI · Seattle · Platform & Infrastructure –ago

Job in Seattle, King County, Washington, 98127, USA
Listing for: Devopsroles
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Cybersecurity, Systems Engineer, Cloud Computing: Infrastructure & Operations, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 130000 USD Yearly USD 130000.00 YEAR
Job Description & How to Apply Below
Position: Infrastructure Engineer Overland AI · Seattle · Platform & Infrastructure $130,000–$225,000 7mo ago
About Overland AI

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 Over Drive autonomy stack enables ground vehicles to navigate and operate off‑road in any terrain without GPS or direct operator control.

Our intuitive Over Watch C2 interface provides commanders with precise coordination capabilities essential for mission success.

Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight‑figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations.

Role

Summary:

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. As an infrastructure engineer, you'll design, build, and secure the platforms that power our infrastructure, AI model training, autonomous robotics development, and field deployments.

This role spans infrastructure, Kubernetes, secure software delivery, CI/CD, and automation. You'll have a track record of Git Ops 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.

What

You'll Do:
  • 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 Dev Sec Ops  capabilities, including automated testing, security scanning, and software supply chain controls.
  • Design and maintain Kubernetes platforms and Git Ops workflows using technologies such as EKS, Open Shift, 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.
Minimum Qualifications
  • 6+ years of experience in Platform Engineering, Dev Ops, Dev Sec Ops , or SRE.
  • Experience in compliance programs such as PCI-DSS, ISO
    27001, NIST frameworks is highly valued.
  • Strong experience operating production Kubernetes environments and implementing Git Ops workflows.
  • Experience building CI/CD pipelines and integrating Dev Sec Ops  tooling (SAST, DAST, container scanning, code signing, SBOMs, etc.).
  • Experience deploying and operating AWS infrastructure and supporting Linux‑based production systems.
  • Strong understanding of networking, security, and observability concepts, including VPNs, firewalls, routing, logging, and monitoring.
  • Proficiency in Python, Go, Rust, or similar programming languages to build internal tooling and automation.
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…
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