Requirements
- 10+ years of engineering experience, with at least 2–3 years in a technical leadership or team lead capacity.
- Hands-on experience building and deploying AI/ML systems, including model training, evaluation, deployment, and monitoring in production environments.
- Strong DevOps and platform engineering foundation: CI/CD (GitHub Actions, GitLab CI, Jenkins), container orchestration (Kubernetes, Docker), and infrastructure-as-code (Terraform, Ansible).
- Experience operating in or supporting federal/DoD environments, including familiarity with IL2/IL4/IL5/IL6 cloud environments, ATO processes, and security-first engineering practices.
- Proven track record of creating and scaling engineering organizations and delivering real software products or platforms.
- Technically grounded, with a strong understanding of modern architectures, cloud environments, data systems, and emerging AI capabilities.
- Equally capable of setting long-term strategic direction and engaging deeply in the details of how things are built.
- Comfortable navigating the complexity of federal or defense environments, operating within constraints while driving outcomes that matter.
- Energized by building something that does not yet fully exist, and motivated by the opportunity to shape the future of a growing company.
- Must be government clearance eligible.
Benefits
- Competitive compensation: $210,000 - $250,000 / year (commensurate with experience)
- Comprehensive benefits, including medical, dental, and vision coverage
- Flexible time off
- Professional development opportunities
- Company perks such as flex spending, wellness initiatives, etc.
- 401(K) matching
Additional Information
- Must be government clearance eligible.
