Platform Engineer (TS/SCI)

Required Skills & Experience

Active TS/SCI with CI Poly

• 5+ years in IT; 2+ years administering RHEL in enterprise environments
• 5+ years of professional software engineering, including production application support
• Experience in DoD or air-gapped classified environments
• Active Security+ or equivalent DoD 8570/8140 certification
• Strong troubleshooting, analytical, and technical writing skills Monitoring: Zenoss, Splunk, SolarWinds, or equivalent
• Linux: RHEL administration, hardening, and lifecycle management
• Security compliance: DISA STIG/SRG, NIST 800-53, ISSO coordination
• Virtualization: VMware, KVM, or Nutanix
• Backend: Python (FastAPI, Celery), Bash scripting
• APIs & Auth: REST, GraphQL, WebSockets, OAuth 2.0 / PKCE
• Databases: PostgreSQL, MongoDB, SQLite; Alembic migrations
• Containers: Docker/Podman, Kubernetes
• Infrastructure: AWS, Redis, NGINX, Linux production environments
• Delivery: Git, GitHub Actions or GitLab CI/CD, automated testing
• Code security: TruffleHog, SonarQube, Checkmarx, or equivalent

Nice to Have Skills & Experience

• 7+ years in IT with 3+ years administering RHEL • Bachelor's degree in IT or Computer Science
• Frontend: React, TypeScript, HTML/CSS
• Networking: switching, VLANs, subnets, storage • Splunk, Ansible, Windows Server / Active Directory
• TLS certificate lifecycle management; vulnerability remediation
• AI/ML application development: LLM integrations, RAG, vector search, prompt engineering, or AI agents
• Responsible AI awareness: privacy, bias mitigation, output validation, and governance

Job Description

Monitoring & Platform Operations • Monitor networking devices, Linux/Windows servers, UC, storage, and virtualization using Zenoss (NMS) • Integrate devices into the monitoring platform; tune to reduce false positives and improve NOC/SOC signal • Build dashboards, perform Root Cause Analysis, and document compliance evidence • Investigate and report on security-related issues; collaborate on tool selection and testing Software Engineering & Automation • Build and maintain production automation applications that optimize platform and device management • Develop Python backends (FastAPI, Celery) and React/TypeScript frontends as needed • Design REST APIs with OAuth 2.0/PKCE authentication; manage PostgreSQL/MongoDB schemas and Alembic migrations • Run containerized workloads (Docker/Podman, Kubernetes) in air-gapped environments • Maintain CI/CD pipelines and code quality via automated testing; apply code-scanning tools (SonarQube, Checkmarx) • Implement AI capabilities where applicable - LLM integrations, RAG, and agent workflows