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.
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.
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.
Basic Qualifications