Staff Engineer, HMS DevOps/DevEx (R6196)
Staff engineer on Shield AI's HMS DevOps/DevEx team builds and maintains the CI/CD infrastructure powering development of the Hivemind autonomy software: GitLab pipelines and runner fleets, automation integrating GitLab/Jira/Confluence, secure Artifactory registries, Nix dev environments, and Forge simulation orchestration in Azure Gov Cloud.
- Compensation
- $150K–$230K / yr
- Location
- Washington, D.C.
- Work setup
- Onsite
- Seniority
- Staff
- Employment
- Part time
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Computer Engineering, or related technical discipline, or equivalent practical experience
- Practical experience building, maintaining, and scaling enterprise CI/CD systems, with deep expertise in GitLab CI/CD pipelines and runner infrastructure
- Experience writing scripts (Bash, Python) and using webhooks/APIs to automate and integrate engineering tools (Jira, Confluence, GitLab)
- Hands-on experience with containerization (Docker, multi-stage builds) and package managers (Conan, Poetry, or Nix)
- Familiarity deploying and managing application workloads in cloud environments (Azure Gov Cloud or AWS)
- Experience with secure software development practices, secret management, and identity providers (Active Directory, Entra ID)
- Solid Linux system administration, networking, and troubleshooting skills
- Ability to obtain and maintain an active U.S. SECRET security clearance (U.S. citizenship required)
Full description
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
As an engineer on the HMS DevOps/DevEx Team, you will write the automation, configure the environments, and build the CI/CD pipelines that power the software development lifecycle across Hivemind Solutions. Your work is hands-on and focused on engineering maximum velocity, reproducibility, and security into our distributed developer tooling and cloud testing environments.
You will completely automate tool workflows by writing scripts and API integrations connecting GitLab, Jira, and Confluence. You will configure and optimize C++, Python, and Node.js compilation pipelines, scale auto-running GitLab runner fleets, manage secure Artifactory container registries, deploy Forge in Azure Gov Cloud, and write custom HMS extensions to our pi-gov GenAI routing harness.
What you'll do:
- Write, configure, and maintain robust GitLab CI/CD pipelines and runner environments for C++, Python, and Node.js software projects, ensuring fast compilation and test execution.
- Build, test, and deploy automated tooling integrations, webhook dispatchers, and state-change scripts connecting GitLab, Jira, and Confluence to orchestrate release workflows.
- Write custom Python or Bash extensions for our pi-gov harness, configuring secure, audited LLM routing rules and local container configurations.
- Deploy, scale, and configure the Forge simulation and test orchestrator in Azure Gov Cloud, optimizing runner autoscaling and cloud compute consumption.
- Maintain, configure, and secure Artifactory package registries, implementing secure container builds via BuildKit, secret injection, and Entra ID integration.
- Partner with development teams to migrate legacy project build systems to reproducible Nix developer environments, writing default Nix derivations and flake configurations.
- Troubleshoot pipeline failures, broken builds, registry access issues, and system-level configuration drift across development environments.
Required qualifications:
- Typically requires a Bachelor's degree in Computer Science, Computer Engineering, or related technical discipline, or equivalent practical experience.
- Practical experience building, maintaining, and scaling enterprise CI/CD systems, with deep expertise in GitLab CI/CD pipelines and runner infrastructure.