DevSecOps Platform Engineer
About The Position
Booz Allen is hiring a Senior DevSecOps Platform Engineer to modernize digital infrastructure in classified environments. The engineer will build and operate secure enterprise platforms, design and troubleshoot containerized systems in air-gapped environments, develop and optimize production CI/CD pipelines, create Infrastructure-as-Code, and integrate security, observability, and reliability into delivery systems. The role serves as a technical anchor for a cloud-focused DevOps team supporting the DoD. It combines hands-on engineering with mentoring active-duty military personnel and government civilians through coaching, technical exchanges, and labs. The engineer will also support early adoption of AI by prototyping and evaluating AI-enabled capabilities and responsibly applying AI/ML tools within classified constraints. The position is located in Fayetteville, North Carolina, and is not listed as remote. Applicants must hold a TS/SCI clearance and meet the stated education and certification requirements.
Requirements
- At least 5 years of experience in IT, systems, or software engineering.
- At least 3 years of experience with DevOps or DevSecOps, building and operating production CI/CD pipelines.
- Experience administering production Kubernetes clusters, 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; Python and Bash scripting; 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, automation assistants, and AI-assisted engineering tools.
- TS/SCI clearance.
- High school diploma or GED.
- DoD 8140 or 8570 IAT Level II certification, such as Security+ CE.
Nice To Haves
- Experience with DoD software factory ecosystems, including Platform One, Big Bang, Iron Bank, and Kessel Run.
- Experience with observability tools such as 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 methods such as Scrum or SAFe and cross-functional teams.
- AWS, Azure, or Google Cloud certification.
- CKA, CKS, RHCSA, RHCE, Terraform Associate, GitLab CI, or CISSP certification.
Responsibilities
- Design, deploy, administer, and troubleshoot containerized systems and production Kubernetes clusters, including lifecycle management and day-2 operations in air-gapped environments.
- Build, operate, and optimize production CI/CD pipelines.
- Develop Infrastructure-as-Code and configuration automation.
- Embed security, observability, and reliability into the delivery stack.
- Mentor active-duty military personnel and government civilians through coaching, technical exchanges, and labs.
- Prototype and evaluate AI-enabled capabilities and responsibly use AI/ML tooling in classified environments.
Benefits
- Health, life, and disability benefits.
- Financial and retirement benefits.
- Paid leave.
- Professional development.
- Tuition assistance.
- Work-life programs.
- Dependent care.
- Recognition awards for exceptional performance and demonstration of company values.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
High school or GED
