DevSecOps - Platform Engineer

GRVTY

USonsitePosted Jul 10, 2026
Posting intelligenceActively listed

Skills

kubernetesprometheusterraformjenkinsgrafanadockergitlabpythonhelmdspawstypescript

About the role

What Impact You'll Have

You will build and operate secure, reliable infrastructure that deploys and runs DSP applications at scale. Your 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 CI Polygraph.

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 (GitLab 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, OpenSearch).

Experience supporting GPU and CUDA enabled infrastructure for compute workloads.

Questions about this role

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