Staff Engineer, DevOps (R3939) - Shield AI

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.