Key skills
PythonC++CBashAIAgenticAWSAzureGCPTerraformKubernetesDockerJenkinsAnsibleAzure DevOpsCloud BuildPrometheusGrafanaGitLab
About this role
Shield AI is a venture-backed defense-tech company focused on protecting service members and civilians with intelligent systems. They are seeking a DevOps Build Engineer to own and maintain the build system for their autonomous aircraft, improving developer experience and implementing DevOps best practices.
Responsibilities:
- Be the expert on our native (C++) software build process
- Improve developer velocity by reducing build/test cycle time and eliminating pipeline bottlenecks
- Collaborate with Software Engineers to understand their requirements, propose designs, and implement identified solutions
- 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 related to build system performance for both local development and CI workflows
- Use agentic solutions to aid in quickly identifying root cause around build failures and getting the appropriate feedback to a Software Engineer
Requirements:
- BS in CS, CE, EE, or related field with 7+ years industry experience (or MS/PhD with 5+ years)
- Deep CMake/C++ expertise or equivalent
- Strong understanding of dependency management and proficiency with either Conan or CPM
- Proficiency with containers and orchestration (Docker, Kubernetes, cloud build clusters)
- Strong scripting skills (Python, Bash)
- 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
- Proficiency with CICD tools (Azure DevOps, Jenkins, Gitlab)
- Cloud Operations experience (Azure, AWS, GCP)
- Familiarity with infrastructure-as-code (Terraform, Ansible) and monitoring (Grafana, Prometheus)
- Background in robotics, autonomy, or aerospace systems