> Markdown version of [/jobs/ext/4445090-devsecops-platform-engineer](https://www.wearedevelopers.com/jobs/ext/4445090-devsecops-platform-engineer). 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). --- # DevSecOps Platform Engineer - **Company:** BOOZ, ALLEN & HAMILTON, INC. - **Location:** Fayetteville, NC, United States - **Experience:** Expert - **Salary:** $77,500.0 - $176,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Ubuntu (Operating System), Cloud Computing, Cloud Engineering, Cyber Security, DevOps, Python (Programming Language), Linux System Administration, Scrum Methodology, Red Hat Enterprise Linux, Ansible, Scripting, Google Cloud, Istio, Retrieval-Augmented Generation, Large Language Models, Grafana, Gitlab-ci, Kubernetes, SolarWinds (Software), Terraform, Open Network Automation Platform, Devsecops, OpenSearch, Cisco, Servicenow - **Published:** October 31, 2026 - **Apply:** https://www.juju.com/job/1_bsub58367-631139484 ## About the Role You Have: + 5+ years of experience with IT, systems, or sof tware engineering + 3+ years of experience with DevOps or DevSecOps, 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 + 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 If You Have: + Experience with DoD sof tware factory ecosystems, including Platform One, Big Bang, Iron Bank, and Kessel Run + Experience with observability stack, including Pro met heus, 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 Certification s such as AWS, Azure, or Google Cloud Certification + CKA, CKS, RHCSA, RHCE, Terraform Asso cia te, GitLab CI, or CISSP Certification s Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required. ## Description DevSecOps Platform Engineer The Opportunity: 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 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 artifi cia l 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.