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DevSecOps - Platform Engineer Security Clearance

Job in Reston, Fairfax County, Virginia, 20190, USA
Listing for: GRVTY
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Systems Engineer, Cloud Computing: Infrastructure & Operations, Unix/Linux
Job Description & How to Apply Below
Position: DevSecOps - Platform Engineer with Security Clearance
What Impact You'll Have You will build and operate secure, reliable infrastructure that deploys and runs DSP applications r work will make advanced signal processing tools easier to build, test, ship, and operate in mission environments. What You'll be Owning
* Package and deploy DSP applications and services using containers and Kubernetes.
* Build and maintain CI CD pipelines for build, test, artifact management, and deployment.
* Operate Linux based compute environments that support high throughput RF processing, including GPU nodes when needed.
* Implement monitoring, logging, alerting, and operational dashboards for DSP services and data pipelines.
* Automate infrastructure and operational workflows using scripting and configuration management.
* Harden systems and pipelines using cybersecurity best practices and support regulated environments.
* Produce documentation and runbooks to support operations teams and mission users. What You Must Have
* Active TS/SCI clearance with ability to obtain CI poly.
* Bachelor's degree in Computer Engineering, Electrical Engineering, Information Science, Computer Science or related field.
* 5+ years of experience.
* Strong Linux skills (RHEL, CentOS, Rocky, or similar).
* Familiarity with Git and source code
* Experience with containers (Docker) and Kubernetes operations.
* Experience building CI CD pipelines (Git Lab CI, Jenkins, or similar).
* Scripting and automation skills in Python and or Bash.
* Solid understanding of networking and security fundamentals. What Would be Nice to Have
* Strong Signal Processing Experience and RF Problem sets
* Experience with AWS or hybrid cloud deployments.
* Infrastructure as code experience (Terraform or similar).
* Helm experience for Kubernetes releases.
* Monitoring and logging tooling (Prometheus, Grafana, ELK, Open Search).
* Experience supporting GPU and CUDA enabled infrastructure for compute workloads.
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