About
About the Organization Delivers mission-critical technology for those who protect what matters. Builds AI-enabled capabilities purpose‑built for federal law enforcement and national security partners. Work sits at the intersection of artificial intelligence, cybersecurity, and identity technology. Operates with a startup mentality focused on technical depth, creative problem‑solving, and ownership.
Work Location
Remote (U.S.) or McLean, VA
McLean, VA office available for on‑site or hybrid work
Occasional travel to McLean, VA may be required for team onsites, planning sessions, or infrastructure work requiring physical access
Schedule: Monday–Friday; occasional off‑hours availability for infrastructure incidents, deployment windows, or training job monitoring
Role Summary Own infrastructure supporting AI/ML systems, including pipelines, deployment, and GPU environments.
Key Responsibilities
Build GPU infrastructure
Develop CI/CD pipelines
Automate deployments
Optimize inference
Implement monitoring
Manage infrastructure as code
Collaborate with ML teams
Required Qualifications
5+ years MLOps/DevOps
AWS expertise
Terraform experience
Docker and GPU knowledge
Python/Bash scripting
ML lifecycle knowledge
Preferred Qualifications
Generative AI experience
Air‑gapped environments
MLflow or W&B
Federal experience
What Success Looks Like
30 days: Understand systems
90 days: Improve pipelines
6 months: Scale infrastructure
Compensation & Benefits
Fully paid medical, dental, and vision insurance premiums
10% company contribution to a Vanguard-sponsored 401(k) plan, vested immediately
7 weeks paid time off, accrued semi-monthly
Life, short‑term, and long‑term disability insurance
Dependent care and health FSA accounts
$5,000 annual professional development and tuition reimbursement
$200 monthly communication allowance
$2,000 technology allowance every two years
Employee equity plan
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Languages
- English
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