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Staff Engineer, DevOps (R4666)

San Diego, California
Full Time On-site

Summary

Job Description

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).  
  • Fully automate common tasks to create a self-service DevOps model allowing developers to be fully empowered. 
  • 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.  
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

About Shield AI

Shield AI

Shield AI is a defense technology company building autonomous AI systems for aircraft, drones, and intelligent mission software used in complex military environments. Founded in 2015, the company is best known for developing Hivemind, an AI pilot system that enables aircraft and drones to operate autonomously in contested and GPS-denied environments, supporting U.S. and allied defense missions.

For job seekers, Shield AI offers opportunities across advanced fields including artificial intelligence, robotics, software engineering, autonomy systems, aerospace engineering, embedded systems, and mission operations. The company is especially attractive to engineers, AI researchers, and defense professionals who want to work on real-world autonomous systems that are actively being deployed in operational military scenarios.

Unlike traditional defense contractors, Shield AI operates with a startup-style engineering culture focused on rapid experimentation, real-world testing, and fast deployment of autonomous capabilities. Employees work on tightly integrated AI and robotics systems that combine perception, decision-making, and control, enabling platforms to operate without direct human input in highly complex environments.

As modern warfare increasingly shifts toward autonomous systems, distributed sensing, and AI-enabled decision-making, Shield AI continues to grow as one of the most prominent companies in next-generation defense technology. For professionals seeking to build cutting-edge autonomy systems with direct mission impact, Shield AI stands out as a leading employer in the defense innovation ecosystem.

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