> Markdown version of [/jobs/ext/4536712-platform-engineer-ts-sci](https://www.wearedevelopers.com/jobs/ext/4536712-platform-engineer-ts-sci). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer (TS/SCI) - **Company:** Insight Global - **Location:** Wake County, NC, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Testing (Software), Active Directory, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Bash Shell, Cascading Style Sheets (CSS), Software Quality, Linux, Github, Networking Hardware, Subnetting, Python (Programming Language), Kernel-Based Virtual Machine, PostgreSQL, Windows Servers, MongoDB, Nginx, OAuth, Red Hat Enterprise Linux, Redis, Ansible, Search Technologies, Software Engineering, SonarQube, SQLite, Systems Integration, TypeScript, Virtual Local Area Networks, VMware Virtualization, Software Vulnerability Management, WebSocket, Zenoss, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Software Security, Software Troubleshooting, Agentic-AI, Git, Fastapi, Containerization, Gitlab-ci, Kubernetes, Information Technology, SolarWinds (Software), Tenable Nessus, Graphql, Celery, Front End Software Development, Checkmarx, Nutanix, Restful APIs, Splunk, Docker - **Published:** November 3, 2026 - **Apply:** https://dejobs.org/x/x/E10145AB7B7B413A940A23FC7A643A5F/job/ ## About the Role 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 * 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 ## 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