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Senior Platform Engineer - Classified AI Infrastructure

ClearanceJobs Workforce Solutions

Posted today

Job Requirements

Chantilly, VA
Top Secret/SCI Polygraph not specified
Senior Level Career (10+ yrs experience)
$185,000 - $240,000

Job Description

Our client is a DoD-focused technology company building a classified, production-grade multi-agent AI coordination platform for U.S. Government environments at IL5 and IL6, including JWICS-connected deployments. This is a hands-on ownership role — not a DevOps-adjacent or configuration position — covering the platform from architecture through authorization.
Responsibilities will include, but are not limited to:

Own the full platform lifecycle — architecture, deployment pipelines, database and cache reliability, SLOs, and incident response — for a FastAPI/MCP server stack running on PostgreSQL (Aurora), Redis, and streamable HTTP/stdio transport layers
Architect and operate AWS GovCloud infrastructure at IL5/IL6, including C2S/SC2S connectivity, JWICS network patterns, cross-domain solution integration, and air-gapped deployment paths
Design and operate production LLM integrations (Claude, GPT, Gemini, or Bedrock-hosted models) including MCP server/client implementation, multi-agent orchestration, and LLMOps practices (versioning, evaluation, cost/latency instrumentation)
Build and maintain zero-downtime CI/CD pipelines with STIG-gated builds, SBOM generation, artifact signing, and automated security scanning
Implement and maintain FIPS 140-3 validated encryption, Zero Trust network architecture, and IAM/ABAC least-privilege designs for classified workloads
Drive FedRAMP High ATO activities including SSP authoring, control inheritance, continuous monitoring, and POA&M management

Minimum Qualifications:

Active TS/SCI clearance
7+ years of platform/infrastructure engineering with direct ownership of production systems
Proficiency in Python (FastAPI, asyncio, pydantic); Bash, Go, or Rust a plus
Expert-level PostgreSQL (schema design, RLS, replication, Aurora) and Redis (pub/sub, clustering)
Kubernetes and/or ECS Fargate experience
Terraform or AWS CDK with GitOps and policy-as-code workflows
Minimum 3 years hands-on AWS GovCloud experience, including at least 1 year in an IL5 or IL6 authorized environment
AWS Certified Solutions Architect – Professional AND AWS Certified Security – Specialty (both required)
Direct production experience integrating LLM APIs (Anthropic, OpenAI, Google, or Bedrock-hosted models)
MCP implementation experience — built or extended at least one MCP server or client in a production or research context
DoD 8570/8140 IAT Level II minimum (IAT Level III strongly preferred)
Applied experience with NIST 800-53, FIPS 140-3, and STIG hardening in production environments
FedRAMP High ATO process experience from the system owner or developer side

Preferred Qualifications:

CISSP, CCSP, Google Professional Cloud Security Engineer, or Microsoft SC-100
AWS Certified Machine Learning – Specialty or equivalent AI/ML certification
Experience with DoD software factory platforms (e.g., Platform One, Game Warden, or similar)
Active JWICS connectivity experience in a C2S/SC2S production environment
Air-gapped model hosting experience (vLLM, Ollama, or TGI)
SAFe or DoD Agile delivery experience on mission-critical programs
Familiarity with DARPA, CDAO, USSOCOM, MDA, or Space Force program structures

Physical Requirements:
This position requires the ability to remain in a stationary position for extended periods of time, operate standard office equipment such as a computer, keyboard, and telephone, and occasionally move about the work environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
group id: ClearanceJobsSC
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