O

Overland AI

Autonomous off-road ground-vehicle autonomy for defense

Infrastructure Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 6 years of experience in Platform Engineering, DevOps, DevSecOps, or Site Reliability Engineering.
  • Experience operating production Kubernetes environments and implementing GitOps workflows.
  • Experience building CI/CD pipelines and integrating DevSecOps tooling, including static application security testing, dynamic application security testing, container scanning, code signing, and software bills of materials.
  • 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.
  • Ability to obtain and maintain a U.S. government security clearance.
  • Ability to travel in-state, including occasional long days during deployments or testing, and out-of-state for about 1–2 weeks per year.
  • Ability to work onsite in the Seattle office at least 3 days per week.
  • Ability to participate in a 24x7 on-call rotation.

Responsibilities

  • Build and operate cloud and on-premises platforms that support AI model training, robotics development, and field deployments.
  • Develop secure CI/CD pipelines and DevSecOps capabilities, including automated testing, security scanning, and software supply chain controls.
  • Design and maintain Kubernetes platforms and GitOps workflows using technologies such as EKS, OpenShift, and Argo CD.
  • 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.

Desired Qualifications

  • Experience with compliance programs such as PCI-DSS, ISO 27001, or NIST frameworks.
  • 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.

About the Company

Overland AI

Autonomous off-road ground-vehicle autonomy for defense

Overland AI focuses on off-road ground-vehicle autonomy for defense and national security. It develops the OverDrive autonomy stack that lets ground vehicles operate autonomously in challenging, contested, and electronically denied terrain. The system integrates with platforms such as Polaris RZR, Textron Ripsaw M5, and General Dynamics S-MET, and includes OverWatch C2, which lets one operator supervise multiple vehicles. The company has demonstrated the technology as a U.S. Army/DIU OT prototype performer and a DARPA RACER Phase II performer for both heavy tracked and lightweight wheeled vehicles. After a $10 million seed round led by Point72 Ventures, Overland AI raised a $32 million Series A in September 2026 led by 8VC to accelerate deployment of off-road autonomy for defense customers. The goal is to provide proven autonomous capabilities for defense applications, helping militaries operate more effectively in difficult terrain.

Company size
51-200
Company stage
Late Stage VC
Total funding
$160.6M
Headquarters
Seattle, WA
Founded
2023

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