DevSecOps Platform Engineer
About The Position
As a Senior DevSecOps Platform Engineer, you will build, operate, and improve secure enterprise platforms in classified environments. You will design, deploy, and troubleshoot containerized systems in air-gapped environments; develop and optimize production CI/CD pipelines; create and refine Infrastructure-as-Code; and incorporate security, observability, and reliability throughout the delivery stack. You will serve as a technical anchor for a cloud-focused DevOps team supporting the DoD. Alongside hands-on engineering, you will mentor active-duty military personnel and government civilians, lead technical exchanges and labs, and help the organization operate critical systems independently and sustainably. You will also contribute to early-stage AI adoption by prototyping and evaluating AI-enabled capabilities and responsibly applying AI/ML tools within classified constraints. The role applies Kubernetes, cloud-native architectures, enterprise automation, and emerging AI technologies to highly restricted environments.
Requirements
- 5+ years of experience with IT, systems, or software 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; 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, and automation assistants, and using 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, 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 certification.
- 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 the delivery stack.
- Administer production Kubernetes clusters, including lifecycle management and day-2 operations.
- Mentor active-duty military personnel and government civilians.
- Lead technical exchanges and labs.
- Help the organization operate critical systems independently and sustainably.
- Prototype and evaluate AI-enabled capabilities and responsibly apply AI/ML tooling within classified constraints.
Benefits
- Health, life, and disability benefits.
- Financial and retirement benefits.
- Paid leave.
- Professional development.
- Tuition assistance.
- Work-life programs.
- Dependent care.
- Recognition awards program.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
High school or GED
