{"id":69956,"url":"https://alion.io/job/overland-infrastructure-software-engineer","title":"Infrastructure Software Engineer","company":{"id":10605,"name":"Overland","domain":"overland.ai","url":"https://alion.io/company/overland","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"A","score":85,"open_postings":26,"ghost_share":0,"stale_share":0.615,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"ISO 27001","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"PCI DSS","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"ArgoCD","optional":true},{"name":"GitOps","optional":true},{"name":"Spinnaker","optional":true}],"status":"live","first_seen_at":"2026-02-24T05:11:01Z","employer_posted_date":"2026-02-24","last_verified_at":"2026-10-17T13:58:45Z","board_verified":true,"closed_at":null,"days_open":235,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":235},"description":"About Overland AI\nFounded 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.\nOverland 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.\n Role Summary\nOverland 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.\nThis 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.\nOur 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. Successful candidates are generalists who enjoy working across traditional role boundaries while developing deep expertise in one or more areas.\nWhat You'll Do\nDesign and develop shared libraries, SDKs, and frameworks used across engineering teams for logging, telemetry, database access, authentication, and service communication. \nBuild internal tooling, utilities, and automation that improve developer productivity, software quality, and operational excellence. \nDevelop and maintain CI/CD pipelines, DevOps tooling, and engineering workflows in partnership with software and infrastructure teams. \nPartner with software, infrastructure, and robotics teams to establish common patterns and best practices for building, deploying, and operating services. \nContribute to the design and implementation of cloud-native systems and platform capabilities across AWS, Kubernetes, and on-prem environments. \nMentor engineers and help drive technical direction for shared software platforms, developer tooling, and engineering standards across the organization. \nRequired Qualifications\n6+ years of experience in Software Engineering, Platform Engineering, Backend Engineering, Developer Experience, DevOps, or related disciplines. \nStrong proficiency in Python, Go, Rust, C++, or similar programming languages, with experience building production software, reusable libraries, and internal tooling. \nExperience designing and maintaining shared libraries, APIs, software frameworks, or developer platforms used by multiple engineering teams. \nStrong understanding of backend systems, including databases, distributed systems, observability, and service-oriented architectures. \nExperience implementing logging, metrics, and tracing solutions using technologies such as DataDog, Prometheus, Grafana, or similar platforms. \nFamiliarity with cloud and infrastructure technologies, including AWS, Kubernetes, CI/CD, Infrastructure-as-Code, and modern DevOps practices. \nExperience in compliance programs such as PCI-DSS, ISO27001, or NIST frameworks is highly valued.\nExcellent communication and collaboration skills, with a demonstrated ability to influence engineering practices across multiple teams and comfortably operate as a technical generalist. \nNice to Have\nExperience supporting and optimizing CI/CD pipelines and workflows\nExperience with Kubernetes or GitOps tools (ArgoCD, Flux, Spinnaker) \nFamiliarity with ML infrastructure, experiment tracking, or data visualization tools \nExperience with hardware integration or embedded system interfaces \nPrior experience supporting hybrid or on-prem deployments \nExperience migrating a monolith to a microservices-based architecture\nAdditional Requirements\nAbility to travel in-state for testing, events, and onsite support \nAbility to travel out-of-state 1-2 weeks per year for demos or field exercises \nAbility to work onsite in the Seattle office at least 3 days per week \nAbility to participate in 24x7 on-call rotation\nAbility to obtain and maintain a DoD Security Clearance \nBenefits\nCompetitive salary: $120K - $200K annually \nEquity compensation \nBest-in-class healthcare, dental, and vision plans \nUnlimited PTO \n401(k) with company match \nParental leave \nOverland AI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, age, marital status, disability, genetic information, protected veteran or military status, or any other status protected by applicable law.\nThis position may involve access to export-controlled technology. Employment is contingent on the ability to comply with U.S. export control laws.\nOverland AI provides reasonable accommodations for qualified individuals with disabilities and disabled veterans during the application process. 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