Today
Top Secret/SCI
Unspecified
Unspecified
IT - Software
Fort Meade, MD (On-Site/Office)
We are seeking a Software Engineer with experience in:
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.
Salary: $180,000-$200,000. This represents the typical salary range for this position, but is not guaranteed. Salary is based on experience, location and contractual requirements which could fall outside of the range listed.
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.
Salary: $180,000-$200,000. This represents the typical salary range for this position, but is not guaranteed. Salary is based on experience, location and contractual requirements which could fall outside of the range listed.
group id: 10448007
