DevSecOps Platform Engineer

Booz Allen Hamilton•Fort Bragg, NC

1d•$77,500 - $176,000

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 Platform 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 DoW, 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. Join us. The world can’t wait.

Requirements

8+ years of experience with IT, systems, or software engineering
5+ years of experience with DevOps or DevSecOps, building and operating production CI / CD pipelines
3+ years of 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
Experience with Linux administration, including RHEL or Ubuntu, scripting with Python and Bash, AWS, Azure, or Google Cloud services, and cloud-native architectures
Experience supporting regulated environments such as the DoD or IC, including STIG automation, RMF or ATO processes, and air‑gapped constraints
Experience with basic AI prototyping, including LLM API use, RAG workflows, and automation assistants, and using AI-assisted engineering tools
TS/SCI clearance
HS diploma or GED
DoD 8140 or 8570 IAT Level II Certification such as Security+ CE Certification

Nice To Haves

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

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.