Infrastructure Software Engineer

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 AIhas secured funding from prominent defense tech investors including 8VC and Point 72, andbuilt 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.

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 software engineer, you'll design , build,the internal platforms, libraries, and tooling that enable our engineering organization to move faster and operate more reliably.

This role sits at the intersection of software engineering, platform engineering, developer experience, and infrastructure. You will design and develop shared libraries, service frameworks, and internal tooling used across AI, robotics, and backend systems. You will help standardize logging, telemetry, database access, and service deployment while also contributing to CI/CD, Dev Ops, compliance, and infrastructure initiatives across the organization.

Our team is small and highly technical. We are responsible for everything from physical infrastructure and cloud platforms toDev Sec Ops , SRE, field deployments, and software engineering. Successful candidates are generalists who enjoy working across traditional role boundaries while developing deep expertise in one or more areas.

• Design and develop shared libraries, SDKs, and frameworks used across engineering teams for logging, telemetry, database access, authentication, and service communication.
• Build internal tooling, utilities, and automation that improve developer productivity, software quality, and operational excellence.
• Develop and maintain CI/CD pipelines, Dev Ops tooling, and engineering workflows in partnership with software and infrastructure teams.
• Partner with software, infrastructure, and robotics teams to establish common patterns and best practices for building, deploying, and operating services.
• Contribute to the design and implementation of cloud-native systems and platform capabilities across AWS, Kubernetes, and on-prem environments.
• Mentor engineers and help drive technical direction for shared software platforms, developer tooling, and engineering standards across the organization.

• 6+ years of experience in Software Engineering, Platform Engineering, Backend Engineering, Developer Experience, Dev Ops, or related disciplines.
• Strong proficiency in Python, Go, Rust, C++, or similar programming languages, with experience building production software, reusable libraries, and internal tooling.
• Experience designing and maintaining shared libraries, APIs, software frameworks, or developer platforms used by multiple engineering teams.
• Strong understanding of backend systems, including databases, distributed systems, observability, and service-oriented architectures.
• Experience implementing logging, metrics, and tracing solutions using technologies such asDataDog, Prometheus, Grafana, or similar platforms.
• Familiarity with cloud and infrastructure technologies, including AWS, Kubernetes, CI/CD, Infrastructure-as-Code, and modern Dev Ops practices.
• Experience in compliance programs such as PCI-DSS, ISO
  27001, or NIST frameworks is highly valued.
• Excellent communication and collaboration skills, with a demonstrated ability to influence engineering practices across multiple teams and comfortably operate as a technical generalist.

• Experience supporting and optimizing CI/CD pipelines and workflows
• Experience with Kubernetes or Git Ops tools (ArgoCD, Flux, Spinnaker)
• Familiarity with ML infrastructure, experiment tracking, or data visualization tools
• Experience with hardware integration or embedded system interfaces
• Prior…