Senior Platform Engineer - Classified AI Infrastructure

ClearanceJobs Workforce Solutions
Chantilly, United States of America
10 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Chantilly, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Bash
Cloud Computing Security
Cluster Analysis
Databases
Federal Information Processing Standards (FIPS)
Identity and Access Management
Python
PostgreSQL
Machine Learning
Redis
Zero Trust Network Access
Software Factory
Management of Software Versions
AI Infrastructure
Policy as Code
Amazon Web Services (AWS)
Delivery Pipeline
Large Language Models
Multi-Agent Systems
FastAPI
Kubernetes
Amazon Web Services (AWS)
Machine Learning Operations
Terraform
GPT

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.

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