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Engineering Manager, Frontier AI Infrastructure - Public Sector

Scale AI · Washington, DC

hybridsenior$213,600–$213,600Posted Sep 9, 2026KubernetesDockerAWSGCPAzurePythonBackendCloud-Native

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About this role

**Engineering Manager, Frontier AI Infrastructure - Public Sector** **Role Overview** Scale AI is seeking a hands-on Engineering Manager to lead the Frontier AI Infrastructure team within Public Sector Engineering. This is a **50/50 role**: approximately half your time writing and reviewing code, and half your time leading, coaching, and growing a small team of engineers. **Key Responsibilities** **As a Manager:** • Lead, coach, and grow a team of engineers – own hiring, onboarding, performance, and career development • Set technical direction and quarterly priorities for the inference layer • Run operational rhythm: sprint planning, on-call rotation, incident review, and postmortems • Partner with Product, Program, and Deployed Engineering leadership on roadmap • Represent the team in customer engagements and vendor escalations with government stakeholders • Design and implement secure, scalable backend systems for Public Sector customers • Own services and systems alongside your team, define health goals, and improve surrounding components • Stay in the code: review PRs, debug production issues, and take on meaningful technical work **Must Have** • **1-2+ years of direct people management experience** leading software engineers (hiring, performance management, career development) plus strong hands-on IC track record • **Active Secret clearance** with ability and willingness to up-level to TS/SCI with CI Poly (requirement) • Willingness to remain hands-on in code – not a purely people-leadership role **Ideal Experience** • Full Stack Development: front-end and back-end proficiency; experience with air-gapped environments a plus • Cloud-Native Technologies: Docker, Kubernetes, AWS/Azure/GCP • Security Focused: federal compliance frameworks (Cloud SRG, FedRAMP, STIG Benchmarks) • Team Building: experience scaling teams and setting engineering standards • Strong problem-solving, collaboration, and communication skills • Adaptability and learning agility in fast-moving AI landscape • Ability to support 3-4 days/week from DC office **Compensation & Benefits** **Base Salary Range (Washington DC):** $213,600 – $267,000 USD Compensation includes base salary, equity, and benefits: comprehensive health/dental/vision coverage, retirement benefits, learning and development stipend, generous PTO, and potential commuter stipend. **About Scale AI** Scale develops reliable AI systems for the world's most important decisions. We work with industry leaders and U.S. government agencies to build, deploy, and oversee AI applications. We are an inclusive, equal opportunity employer committed to reasonable accommodations. *Note: 90-day waiting period before reconsidering candidates for the same role.*

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