● 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.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
51-100 employees