Staff Engineer, DevOps (R3939)

JOB DESCRIPTION:

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. 

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