As a DevOps Engineer, you’ll own our CI/CD and automation stack — driving developer velocity, pipeline health, and large-scale test execution from single-agent runs to cluster-orchestrated mission scenarios. This is a hands-on IC role that removes bottlenecks, accelerates iteration, and ensures every engineer can test and ship with speed and rigor.
Own and operate the CI/CD system across autonomy, embedded, and ground software.
Improve developer velocity by reducing build/test cycle time and eliminating pipeline bottlenecks.
Scale simulation test execution in CI — from containerized single-agent runs to orchestrated clusters.
Manage infrastructure for builds and tests (Azure DevOps, Git, Artifactory, cloud build agents).
Fully automate common tasks to create a self-service DevOps model allowing developers to be fully empowered.
Partner with developers to resolve build/test failures quickly and set best practices for integration.
Integrate CI pipelines with HIL and simulation environments for automated validation.
Implement monitoring, dashboards, and alerts for CI/CD health and performance.
Collaborate with the Developer Ops teams across Shield AI to introduce new technologies, best practices, and shared standards.
BS in CS, CE, EE, or related field with 7+ years industry experience (or MS/PhD with 5+ years).
Strong expertise in CI/CD tools (Azure DevOps, Jenkins, GitHub Actions).
Proficiency with containers and orchestration (Docker, Kubernetes, cloud build clusters).
Strong scripting skills (Python, Bash, PowerShell).
Hands-on experience integrating automated testing into CI pipelines.
Demonstrated success improving developer productivity at scale.
Demonstrated track record of excellence as a primary contributor on projects - showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions in a fast-paced environment
Experience building simulation or HIL-based test pipelines.
CMake/C++ expertise or equivalent.
Strong understanding of dependency management and proficiency with either Conan or CPM.
Familiarity with infrastructure-as-code (Terraform, Ansible) and monitoring (Grafana, Prometheus).
Background in robotics, autonomy, or aerospace systems.
Defense AI company building the world's best AI pilot for autonomous drones and fighter jets.
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