Lumbra
Technology
EngineeringManager
Neural analysis suggests this role is
optimal for Manager candidates.
“Engineering Manager at Lumbra. Skills: Core Platform, AI product, Cloud infrastructure. Lead cross-functional team. Review architecture decisions”
What You'll Achieve.
Platform health
Industry & Context.
Diagnose pipeline bottlenecks; Incident response; Post-incident reviews
Classified spaces, Air-gapped networks, Classified networks
What They're Looking For.
Must Have
Led engineers through planning, Team of five or more, Builds software in Python, Hands-on async web work, Spot an architecture problem, Steered technical direction, Fast-moving AI product, Container orchestration (Kubernetes), Cloud infrastructure (GCP), CI/CD design
Nice to Have
Managed teams building AI, Understands non-deterministic systems, Shipped to air-gapped environments, Carried compliance overhead, Scaled an engineering team, From intelligence, defense, or analytical tooling
What You'll Do.
Lead cross-functional team
Review architecture decisions
Own engineering roadmap
Set engineering culture
Shape architecture patterns
Hold line on code quality
Own release lifecycle
Diagnose pipeline bottlenecks
Own production monitoring
Manage incident response
Conduct post-incident reviews
Hold team accountable
Coordinate initiatives
Own cross-environment parity
Build hiring pipeline
How You'll Work.
Team & Collaboration
Cross-functional team; Deployment targets
Process & Methodology
Roadmap planning, Release lifecycle
Full Job Description
ENGINEERING MANAGER, CORE PLATFORM ABOUT LUMBRA Lumbra builds the vendor-neutral operating system for agentic AI in high-consequence environments. In our first ten months we won four U.S. Government prime contracts in open competition, every one deploying into classified spaces, and we are live on JWICS. We were selected from a field of more than 200 companies, beat two established defense primes head to head, and earned the follow-on, now in execution. Lumbra is a team of engineers and operators from the intelligence community, special operations, and frontier AI research, trained at MIT, Carnegie Mellon, West Point, and U.S. Army Ranger School, with careers built at Palantir, Anduril, Northrop Grumman, Onebrief, JSOC, NSA, and CIA. We have lived this problem from the inside. ABOUT THE ROLE Nebula is our agentic harness, and it runs in production on air-gapped, classified networks. The Core Platform team owns the full stack, from backend services and frontend through workflow orchestration to the infrastructure that has to behave the same in commercial cloud and inside a SCIF. We want an engineering manager who can lead that team through fast iteration without letting the bar on architecture or reliability slip. WHAT YOU'LL OWN - Lead a cross-functional team across backend, frontend, and infrastructure. You carry enough technical depth to review architecture decisions and unblock engineers anywhere in the stack. - Own the product and engineering roadmap for the core platform, weighing new capability against reliability and tech debt in an AI product where the ground keeps shifting. - Set the engineering culture: how the team tests, shapes its architecture patterns, runs design reviews, and holds the line on code quality, enforced through review and mentorship rather than policy. - Own the release lifecycle from development to production, diagnosing pipeline bottlenecks and managing release risk. - Own production monitoring, incident response, and post-incident revi
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