DevSecOps Platform Engineer
Listed on 2026-08-04
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IT/Tech
Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Systems Engineer, AI Engineer (Applied/Software)
Dev Sec Ops Platform Engineer
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 Dev Sec Ops 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 Dev Ops 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.
Key responsibilities:
- Design, deploy, and troubleshoot containerized systems in air‑gapped environments.
- Develop and optimize production CI/CD pipelines.
- Author and refine Infrastructure‑as‑Code (IaC) using Ansible and Terraform.
- Embed security, observability, and reliability into every layer of the delivery stack.
- Co‑coach and mentor active‑duty military personnel and government civilians.
- Lead technical exchanges and labs, building capabilities for operating critical systems independently.
- Drive early‑stage AI adoption, 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.
- Operate at the intersection of Kubernetes, cloud‑native architectures, enterprise automation, and emerging AI technologies to develop the next generation of technical operators.
- 8+ years of experience with IT, systems, or software engineering.
- 5+ years of experience with Dev Ops or Dev Sec Ops , 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.
- 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 Open Search.
- Experience with service mesh and hardened platform services such as Istio, ArgoCD or Flux, and Harbor.
- Experience with network automation, including Nautobot or Net Box, Cisco automation, Service Now, and Solar Winds.
- Experience with Agile delivery, including Scrum or SAFe, and cross‑functional teams.
- Cloud certifications such as AWS, Azure, or Google Cloud Certification CKA, CKS, RHCSA, RHCE, Terraform Associate, Git Lab CI, or CISSP.
- Applicants selected will be subject to a security investigation and may need to meet eligibility requirements…
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