Job description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED We have an immediate need for a Software Integration Engineer to oversee the administration, maintenance, and operational support of the Platform-as-a-Service (PaaS) component of the CASA Compute Environment (CCE) . Operating within a robust Linux-based infrastructure, the CCE provides secure, multi-tenant, high-performance, and highly available Kubernetes clusters. In this key role, you will be responsible for platform reliability, cluster scalability, security compliance, and performance tuning to support vital mission applications. 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. • Kubernetes Cluster Administration: Demonstrated hands-on experience administering, configuring, and monitoring enterprise Kubernetes clusters. • Cluster Workload Troubleshooting: Proven expertise troubleshooting and resolving issues related to Kubernetes ingress, networking, storage, and workload performance. • Helm Packaging: Direct experience writing, deploying, and maintaining Helm Charts . • Containerization: Experience with container technologies such as Docker or Podman . • Infrastructure as Code (IaC): Hands-on experience with IaC principles and automation frameworks like Ansible . • Observability & Monitoring: Experience utilizing system monitoring and visualization tools, specifically Prometheus and Grafana . • Linux & Scripting: Proficient with the Linux CLI, standard utilities, and writing Bash or Python scripts for automation. • Version Control: Proficiency using Git for source code management, branching strategies, and collaborative development. • • 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. Kubernetes Certification: Certified Kubernetes Administrator ( CKA ) certification. Python Development: Experience with—or a willingness to learn—Python application development (e.g., RESTful services, microservices). Agile & DevOps Culture: Experience working in a fast-paced DevOps environment utilizing Agile principles and methodologies. Agile Tooling: Practical experience with the Atlassian Tool Suite ( Jira , Confluence ).

Requirements

Must-haves

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
Kubernetes Cluster Administration: Demonstrated hands-on experience administering, configuring, and monitoring enterprise Kubernetes clusters.
Cluster Workload Troubleshooting: Proven expertise troubleshooting and resolving issues related to Kubernetes ingress, networking, storage, and workload performance.
Helm Packaging: Direct experience writing, deploying, and maintaining Helm Charts .
Containerization: Experience with container technologies such as Docker or Podman .
Infrastructure as Code (IaC): Hands-on experience with IaC principles and automation frameworks like Ansible .
Observability & Monitoring: Experience utilizing system monitoring and visualization tools, specifically Prometheus and Grafana .
Linux & Scripting: Proficient with the Linux CLI, standard utilities, and writing Bash or Python scripts for automation.
Version Control: Proficiency using Git for source code management, branching strategies, and collaborative development.
Kubernetes Certification: Certified Kubernetes Administrator ( CKA ) certification.
Python Development: Experience with—or a willingness to learn—Python application development (e.g., RESTful services, microservices).
Agile & DevOps Culture: Experience working in a fast-paced DevOps environment utilizing Agile principles and methodologies.
Agile Tooling: Practical experience with the Atlassian Tool Suite ( Jira , Confluence ).

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

kubernetesdockerpythonagilejira

Platform: agile-ats
Effort: medium