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Shield AI is building autonomous aircraft that redefine aviation. The Software Integration & Operations (SIO) team builds the pipelines, tools, and systems that make fast, reliable delivery of complex aircraft software possible. 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. What you’ll do
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). 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. Required Qualifications
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. Preferred Qualifications
Experience building simulation or HIL-based test pipelines. Familiarity with infrastructure-as-code (Terraform, Ansible) and monitoring (Grafana, Prometheus). Background in robotics, autonomy, or aerospace systems. Compensation
$150,000 - $225,000 a year
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Sprachkenntnisse
- English
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