Job DescriptionACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIREDWe are seeking a skilled
Platform & Kubernetes Integration Engineer to administer, maintain, and provide operational support for the Platform-as-a-Service (PaaS) layer of the CASA Compute Environment (CCE). Operating within a secure, Linux-based infrastructure, the CCE delivers multi-tenant, high-performance, and highly available Kubernetes clusters supporting mission-critical applications. In this role, you will ensure platform reliability, scalability, security compliance, and peak cluster performance. The ideal candidate pairs deep Linux system administration and Kubernetes troubleshooting expertise with practical Infrastructure-as-Code (IaC) automation and observability skills.
The annual base salary range for this role is $162,000-$192,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Required Skills- Kubernetes Administration & Workload Troubleshooting: Demonstrated experience administering and monitoring multi-tenant Kubernetes clusters, alongside hands-on expertise troubleshooting ingress, networking, storage, and workload performance issues.
- Linux Administration & CLI Proficiency: Strong working knowledge of Linux-based operating systems, utilizing the Linux CLI and core system administration utilities for server maintenance and diagnostics.
- Containerization & Packaging (Docker, Podman, Helm): Practical experience building and managing containers with Docker or Podman, as well as authoring, deploying, and maintaining Helm Charts.
- Infrastructure-as-Code (IaC) & Automation Scripting: Hands-on experience applying IaC methodologies using Ansible, combined with proficiency writing automation scripts in Bash and Python.
- Observability & Source Control Management: Demonstrated experience monitoring distributed systems with Prometheus and Grafana, paired with strong Git skills for branching strategies and team collaboration.
Education:
Bachelor's Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS
6+ years of specialized data analytics or financial intelligence experience OR
High School Diploma / GED, PLUS
11+ years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree.
Desired Skills- Certified Kubernetes Administrator (CKA): Active CKA certification validating deep hands-on proficiency in Kubernetes cluster architecture, installation, configuration, and troubleshooting.
- Python Application & Microservice Development: Experience with-or strong willingness to learn-building backend Python applications, RESTful services, and microservices.
- Agile & DevOps Delivery: Practical experience operating within a collaborative DevOps culture utilizing Agile/Scrum frameworks, CI/CD pipelines, and iterative delivery practices.
- Atlassian Collaboration Tool Suite: Hands-on experience tracking sprints, managing incident tickets, and maintaining technical documentation using Jira and Confluence.
- Multi-Tenant Security & Hardening: Familiarity with applying security compliance controls, RBAC policies, network policies, and container hardening standards in regulated Linux/Kubernetes environments.
