Senior Engineer, DevOps

Job Description

About Shield AI Founded in 2015, Shield AI is a venture-backed defense technology company focused on protecting service members and civilians with intelligent systems. Its flagship autonomy software, Hivemind, powers aircraft, drones, and other platforms, enabling complex missions with high reliability in contested environments. With offices in San Diego, Dallas, Washington, D.C., and internationally, Shield AI’s products actively support U.S. and allied operations worldwide. For more information, visit Follow Shield AI on LinkedIn, Twitter, and Instagram. Shield AI has developed a software factory for building, optimizing, evaluating, and analyzing autonomy solutions. The technology has drawn significant interest from industry. We are currently working with these customers to investigate modern warfighting problems and develop/deliver solutions. This position will support deploying, integrating, packaging, and developing components of this factory for our autonomy teams and customers within isolated/specialized environments. What You'll Do: Work with a small team of engineers and administrators Integrate our autonomy, AI factory, and tooling into new and existing cloud or air-gapped, on-prem environments Support CI/CD between those various isolated environments Manage JFrog/Artifactory storing of multiple language and generic artifacts Ensure proper validation and deployment of our autonomy, AI factory, and tooling Coordinate with engineering and test teams to build and meet requirements Solve challenging and important problems Required Qualifications: Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience. 3+ years demonstrated experience with the Atlassian suite, GitLab, ADO, or similar DevOps environment Experience supporting C++ or Python-based applications Solid understanding of Linux/Unix-based systems BS/MS in Computer Science, similar degree, or equivalent practical experience Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others Experience debugging/troubleshooting deployed, distributed problems Preferred Qualifications: C++/Conan build system experience Python packaging and deployment experience Experience working DevOps in isolated environments 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. 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. #J-18808-Ljbffr