DevSecOps Engineer

Booz Allen Hamilton•Fayetteville, NC
•$77,500 - $176,000•Remote

About The Position

Modernizing digital infrastructure in classified environments demands engineers who can build secure enterprise platforms, operate them reliably, and elevate the teams that depend on them. As a Senior DevSecOps Engineer, you will design, deploy, and troubleshoot containerized systems in air‑gapped environments, develop and optimize production CI/CD pipelines, author and refine Infrastructure-as-Code, and embed security, observability, and reliability into every layer of the delivery stack. You’ll serve as a technical anchor for a cloud-focused DevOps team supporting the DoD, combining hands-on engineering expertise with a deliberate mentorship mission. You will coach active-duty military personnel and government civilians, lead technical exchanges and labs, and strengthen the organization’s ability to operate critical systems independently and sustainably. You will also help drive early-stage artificial intelligence (AI) adoption, including prototyping, evaluating AI-enabled capabilities, and responsibly applying AI/ML tooling within classified constraints. Your work will shape how the organization leverages automation, analytics, and modern platform engineering practices in highly restricted environments. Operate at the intersection of Kubernetes, cloud-native architectures, enterprise automation, and emerging AI technologies while helping develop the next generation of technical operators. Grow your skills at the leading edge of innovation.

Requirements

  • 5+ years of experience with IT, systems, or software engineering
  • 2+ years of experience with DevOps or DevSecOps, including building and operating production CI/CD pipelines
  • Experience administering Kubernetes clusters in production, including lifecycle management and day‑2 operations
  • Experience developing Infrastructure-as-Code and configuration automation using Ansible and Terraform
  • Linux administration, including RHEL or Ubuntu
  • Scripting with Python and Bash
  • Experience with AWS, Azure, or Google Cloud services and cloud-native architectures
  • Experience supporting regulated environments such as the DoD or IC, including cybersecurity engineering processes, and air‑gapped constraints
  • Experience with basic AI prototyping, including LLM API use, RAG workflows, or automation assistants, and using AI-assisted engineering tools responsibly
  • TS/SCI clearance
  • HS diploma or GED
  • DoD 8140 or 8570 IAT Level II Certification

Nice To Haves

  • Experience with DoD software factory ecosystems, including Platform One, Big Bang, Iron Bank, or Kessel Run
  • Experience with observability stacks, including Prometheus, Grafana, or ELK or OpenSearch
  • Experience with service mesh and hardened platform services, including Istio, ArgoCD or Flux, or Harbor
  • Experience with network automation, including Nautobot or NetBox, Cisco automation, ServiceNow, or SolarWinds
  • Experience with Agile delivery, including Scrum or SAFe, within cross-functional teams
  • Experience with the military or direct support to tactical IT systems
  • Cloud Certifications such as AWS, Azure, or Google Cloud Certifications
  • CKA/CKS, RHCSA/RHCE, Terraform Associate, GitLab CI, or CISSP Certification

Responsibilities

  • Design, deploy, and troubleshoot containerized systems in air‑gapped environments
  • Develop and optimize production CI/CD pipelines
  • Author and refine Infrastructure-as-Code
  • Embed security, observability, and reliability into every layer of the delivery stack
  • Coach active-duty military personnel and government civilians
  • Lead technical exchanges and labs
  • Strengthen the organization’s ability to operate critical systems independently and sustainably
  • Drive early-stage artificial intelligence (AI) adoption, including prototyping, evaluating AI-enabled capabilities, and responsibly applying AI/ML tooling within classified constraints
  • Shape how the organization leverages automation, analytics, and modern platform engineering practices in highly restricted environments

Benefits

  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service