Own and maintain native C++ build systems for autonomous aircraft. Improve developer velocity by reducing build/test cycle time, integrate CI with HIL and simulation, implement monitoring and alerts, troubleshoot build/test failures, and collaborate with engineers to design and deploy DevEx/DevOps solutions.
Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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 www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
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 Build Engineer, you will own and maintain the build system for our autonomous aircraft (XBAT/VBAT). This role is primarily focused on Developer Experience (DevEx) and bringing DevOps best practices to our software engineers to accelerate their development cycles.
As a DevOps Build Engineer, you will own and maintain the build system for our autonomous aircraft (XBAT/VBAT). This role is primarily focused on Developer Experience (DevEx) and bringing DevOps best practices to our software engineers to accelerate their development cycles.
What you'll do:
- Be the expert on our native (C++) software build process.
- Improve developer velocity by reducing build/test cycle time and eliminating pipeline bottlenecks.
- Collaborate with Software Engineers to understand their requirements, propose designs, and implement identified solutions.
- 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 related to build system performance for both local development and CI workflows.
- Use agentic solutions to aid in quickly identifying root cause around build failures and getting the appropriate feedback to a Software Engineer.
Required qualifications:
- BS in CS, CE, EE, or related field with 7+ years industry experience (or MS/PhD with 5+ years).
- Deep CMake/C++ expertise or equivalent.
- Strong understanding of dependency management and proficiency with either Conan or CPM.
- Proficiency with containers and orchestration (Docker, Kubernetes, cloud build clusters).
- Strong scripting skills (Python, Bash).
- 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
- Proficiency with CICD tools (Azure DevOps, Jenkins, Gitlab).
- Cloud Operations experience (Azure, AWS, GCP).
- Familiarity with infrastructure-as-code (Terraform, Ansible) and monitoring (Grafana, Prometheus).
- Background in robotics, autonomy, or aerospace systems.
#LI-SM1
#LD
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.
Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead and continuously improve the companys SOX 404 program: design strategy, risk assessment, scoping, testing, and remediation. Partner with Finance, IT, Legal, and business owners to document controls, manage external audits, drive automation and ERP/GRC integrations, report to executives and Audit Committee, and establish policies, training, and a scalable SOX team.
Top Skills:
ArcherAuditboardNetSuiteOracleSAPServicenow GrcWorkdayWorkiva
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead AI operations and governance for workplace AI: own sustainment, licensing, security, observability, model monitoring/tuning, integrations, and governance. Build and lead a team, set strategy, manage costs, and ensure compliant, reliable production AI systems.
Top Skills:
Agentic/Orchestration FrameworksAlerts)APIsConnectorsGenerative AiLlmsMetricsMonitoring And Observability Stacks (LogsN8NPrompt EngineeringRetrieval-Augmented GenerationRpaSaas IntegrationsSecrets Management (Api Keys)
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead the end-to-end demand-to-value pipeline for enterprise AI: identify high-impact use cases, make buy/build decisions, drive adoption, establish baselines and ROI, and build a team to scale business-facing AI delivery while providing credible technical evaluation of ML and generative AI.
Top Skills:
Generative AiMachine Learning
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
