Infrastructure Software Engineer

Overland AI · San Francisco, CA · 2 wk ago

On-siteEngineering$120k–$200k/yrFull-time

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. 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.

About the role

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.

Responsibilities

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, DevOps 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.

Requirements

6+ years of experience in Software Engineering, Platform Engineering, Backend Engineering, Developer Experience, DevOps, 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 as DataDog, Prometheus, Grafana, or similar platforms.
Familiarity with cloud and infrastructure technologies, including AWS, Kubernetes, CI/CD, Infrastructure-as-Code, and modern DevOps practices.
Experience in compliance programs such as PCI-DSS, ISO27001, 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.
Ability to travel in-state for testing, events, and onsite support.
Ability to travel out-of-state 1–2 weeks per year for demos or field exercises.
Ability to work onsite in the 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.

Skills

Experience supporting and optimizing CI/CD pipelines and workflows.
Experience with Kubernetes or GitOps tools (ArgoCD, Flux, Spinnaker).
Familiarity with ML infrastructure, experiment tracking, or data visualization tools.
Experience with hardware integration or embedded system interfaces.
Prior experience supporting hybrid or on-prem deployments.
Experience migrating a monolith to a microservices-based architecture.

Benefits