Staff Engineer, DevOps (4797)

Shield AI•San Diego, CA

5d•$150,000 - $220,000

About The Position

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 Build Engineer, you will own and maintain the build system for our autonomous aircraft (XBAT/VBAT). This role is primarily focused on Developer Experience (DevEx) and bringing DevOps best practices to our software engineers to accelerate their development cycles.

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).

Nice To Haves

Cloud Operations experience (Azure, AWS, GCP).
Familiarity with infrastructure-as-code (Terraform, Ansible) and monitoring (Grafana, Prometheus).
Background in robotics, autonomy, or aerospace systems.

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.