Mid-Level Platform Integration Engineer

Nyla Technology Solutions•Annapolis Junction, MD

About The Position

We 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. An active security clearance at the TS/SCI polygraph level is required. The annual base salary range is $162,000–$192,000 USD, excluding discretionary bonus compensation and benefits. Actual compensation may vary based on geographic location, work experience, education, skill level, and other factors.

Requirements

Active security clearance at the TS/SCI polygraph level.
Demonstrated experience administering and monitoring multi-tenant Kubernetes clusters and troubleshooting ingress, networking, storage, and workload performance issues.
Strong working knowledge of Linux-based operating systems, Linux CLI, and core system administration utilities.
Practical experience building and managing containers with Docker or Podman and authoring, deploying, and maintaining Helm Charts.
Hands-on experience applying Infrastructure-as-Code methodologies using Ansible.
Proficiency writing automation scripts in Bash and Python.
Experience monitoring distributed systems with Prometheus and Grafana, and strong Git skills for branching strategies and team collaboration.
Either a bachelor’s degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline plus 6 or more years of specialized data analytics or financial intelligence experience; or a high school diploma/GED plus 11 or more years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree.

Nice To Haves

Active Certified Kubernetes Administrator (CKA) certification.
Experience with, or strong willingness to learn, building backend Python applications, RESTful services, and microservices.
Practical experience in a collaborative DevOps culture using Agile/Scrum frameworks, CI/CD pipelines, and iterative delivery practices.
Hands-on experience using Jira and Confluence to track sprints, manage incident tickets, and maintain technical documentation.
Familiarity with security compliance controls, RBAC policies, network policies, and container hardening standards in regulated Linux/Kubernetes environments.

Responsibilities

Administer, maintain, and provide operational support for the PaaS layer of the CASA Compute Environment.
Monitor and troubleshoot multi-tenant Kubernetes clusters, including ingress, networking, storage, and workload performance.
Maintain and diagnose Linux-based systems using the Linux CLI and core system administration utilities.
Build and manage containers with Docker or Podman and author, deploy, and maintain Helm Charts.
Apply Infrastructure-as-Code methodologies using Ansible and write automation scripts in Bash and Python.
Monitor distributed systems using Prometheus and Grafana and collaborate through Git source control.
Support platform reliability, scalability, security compliance, and cluster performance.