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# Kubernetes Software Platform Engineer

- **Company:** SPECTRIC LABS, INC.
- **Location:** Chantilly, VA, United States
- **Experience:** Experienced
- **Salary:** $100,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Cloud Computing, Configuration Management, Software Code Optimization, Linux, DevOps, Elasticsearch, Hyper-V, Python (Programming Language), Linux Servers, Performance Tuning, Red Hat Enterprise Linux, Ansible, Prometheus, Software Deployment, Systems Integration, Virtualization Technology, Computer Networking Systems, Delivery Pipeline, Grafana, Containerization, Gitlab-ci, Kubernetes, Information Technology, Deployment Automation, Bare Metal, Performance Monitor, Patch Management, Puppet, Network Server, Devsecops, Docker, Vmware
- **Published:** October 14, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9237997/kubernetes-software-platform-engineer

## About the Role

will have experience working on TS/SCI systems and networks and are familiar with security
policies, procedures, and tools. Ideal candidates will also have working knowledge of tools used in
Kubernetes platform maintenance, including Kubernetes and Helm, as well as DevOps tools for the
development, build, and deployment of software to the platform.

Key Responsibilities

 * Linux DevOps Tools:

o Experience with containerization technologies (e.g., Docker, Podman)

o Experience with container deployment technologies (e.g., Kubernetes, Helm)

o Expertise in DevSecOps practices, with hands-on experience managing CI/CD
pipelines, automation, and secure system integrations (e.g., GitLab CI/CD, Azure
DevOps).

o Experience with software used for applications monitoring including Elasticsearch,
Prometheus, Grafana.

o Strong understanding of virtualization (e.g., Hyper-V, VMware) and cloud
technologies (Azure, AWS).
, o Experience using Puppet and Ansible for configuration management of Linux-based
servers.

o Working knowledge of Red Hat Satellite for operating and securing RHEL
environments.

o Understanding of GPU acceleration and AI workloads on Kubernetes platforms

o Experience with end-to-end automation and deployment of applications and
updates to bare metal, VM, and containerized workloads and deployments

 * System Optimization and Performance Tuning:

o Lead advanced performance tuning initiatives for Linux servers, optimizing CPU,
memory, disk I/O, and network performance to meet enterprise-level demands.

o Implement proactive monitoring strategies using advanced to ensure system health
and identify performance bottlenecks.

o Troubleshoot and resolve complex issues across infrastructure, applications, and
network systems, leveraging deep expertise in performance analysis and system
diagnostics.

o Develop and maintain complex automation scripts (shell, Python, etc.) to handle
large-scale tasks, such as automated deployments, patch management, and
monitoring.

Required Skills and Qualifications:

o Ability to obtain Top Secret security clearance with access to SCI and a CI
polygraph.

o Bachelor's degree in Computer Science, Information Technology, or related field (or
equivalent experience).

o 3+ years of experience in Linux-based DevOps or Kubernetes administration,
including managing enterprise-level infrastructures.

Preferred Skills and Qualifications

 * TS/SCI CI Poly

## Description

Spectric Labs uses advanced technology to address Intelligence Community challenges in
innovative ways. Join our team of engineers and make an immediate impact for our clients. As part
of our engineering team, you'll demonstrate that there's a creative solution to every problem. Your
passion, creativity, and dedication drive you to apply the most innovative methods to tackle some
of the toughest challenges faced by the US Government., Spectric Labs is looking for a motivated engineer to make an immediate impact for our customers
and the company, based in Chantilly, VA. We are a small, growing company seeking a candidate
responsible for installing, configuring, maintaining, and optimizing a globally deployed, classified
Linux-based research and development network and Kubernetes clusters. Successful candidates