Software Engineer Level 3

• DevOps Engineering:
  Design, implement, and maintain DevOps pipelines for C++ or Python applications, utilizing Kubernetes/K8 deployment and administration, Helm chart creation, and pod definition.

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• Kubernetes Administration:
  Manage and configure Kubernetes clusters, ensuring high availability, scalability, and security.

• Debugging and Defect Correction:
  Identify, debug, and correct defects in existing software, utilizing effective troubleshooting techniques to resolve issues efficiently.

• GPU Configuration and Support:
  Configure and optimize GPU resources for performance-critical applications, utilizing CUDA or other relevant technologies.

• Automated Testing and Deployment:
  Implement automated testing and deployment scripts, utilizing tools such as Jenkins or GitLab CI/CD.

• Collaboration:
  Work closely with cross-functional teams, including system architects, and project managers, to ensure software meets user requirements and is delivered on schedule.

• Documentation:
  Maintain comprehensive documentation for software designs, processes, and interfaces to facilitate knowledge sharing and project continuity.

Requirements

A current and active TS/SCI Clearance with a Polygraph required. No CCAx27s will be accepted at this time.

• Twenty (20)x26nbsp;years experiencex26nbsp;as a SWE in programs and contracts of similar scope, type, and complexity isx26nbsp;required.x26nbsp;
• Bachelor's degree in Computer Sciencex26nbsp;or related discipline from an accredited college or university isx26nbsp;required. Four (4) years ofx26nbsp;additionalx26nbsp;SWE experience on projects with similar software processes may be substituted for a bachelor's degree.x26nbsp;

Technical Skills:

• Experience with GPU/CUDA development for performance-critical applications.
• Familiarity with message queue implementation and communication protocols.
• Knowledge of Linux system programming and development environments.

Additional Skills:

• Understanding of RF signals analysis or satellite communications system design and theory.

Soft Skills:

• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.
• Adaptability and a commitment to continuous learning and improvement.