Senior Platform Engineer - Classified AI Infrastructure
Role details
Job location
Tech stack
Job description
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
Requirements
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, 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.