Senior Engineer, DevOps (Dallas, TX) (R4819)

Shield AI · Dallas, Texas

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

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. 

Required qualifications:

  • BS in CS, CE, EE, or related field with 5+ years industry experience (or MS/PhD with 3+ 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 
  • Must be eligible to obtain a clearance

    • 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.  
    • Apply →