DSP DevOps and Platform Engineer

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

• BS in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or equivalent hands on experience.
• Active TS/SCI clearance with Polygraph
• 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.
• Ability to work closely with software engineers and translate deployment needs into platform solutions.

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.
• Basic familiarity with DSP workflows and how signal processing teams build and ship algorithms.