- Robot type
- Autonomous Vehicle · Defense
- Location
- SeattleWashingtonUSA
- Job type
- Software
- Posted
- Feb 23, 2026
Full-time
Infrastructure Software Engineer
Job description
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, DevOps, 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 to DevSecOps, SRE, field deployments, and software engineering.
Overland AI is building off-road autonomy, and our software…
Job 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.
- 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.