Standard Job Description
- Design, implement, and maintain DevOps pipelines for C++ or Python applications, utilizing Kubernetes/K8 deployment and administration, Helm chart creation, and pod definition.
- Manage and configure Kubernetes clusters, ensuring high availability, scalability, and security.
- Identify, debug, and correct defects in existing software, utilizing effective troubleshooting techniques to resolve issues efficiently.
- Configure and optimize GPU resources for performance-critical applications, utilizing CUDA or other relevant technologies.
- Implement automated testing and deployment scripts, utilizing tools such as Jenkins or GitLab CI/CD.
- Work closely with cross-functional teams, including system architects, and project managers, to ensure software meets user requirements and is delivered on schedule.
- Maintain comprehensive documentation for software designs, processes, and interfaces to facilitate knowledge sharing and project continuity.
WHO WE ARE:
The program performs the analysis, design, development, integration, test and deployment, securing, modernization, and operations and maintenance (O&M) and decommissioning activities of RF and optical capabilities. WHY JOIN US: Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin's competitive and comprehensive benefits package. We support our employees, so they can support our mission. #RMSGG2026
Basic Qualifications
- Bachelor's degree from an accredited college in a related discipline, or equivalent experience/combined education, with 12 years or more of professional experience. Considered an expert, authority in discipline.
- Possess all capabilities as defined by the GG Statement of work (SOW) Appendix B for the USG standard SWE labor category level 3.
Desired Skills
- Kubernetes; Cluster design, deployment, and lifecycle management, Rancher, RKE2 implementation, Control-plane component configuration & troubleshooting, Worker-node management, configuration, and lifecycle automation, Workload management (scheduling, affinity, resources, scaling), High-availability cluster configuration, Cluster monitoring, networking, and storage, Storage classes, PVC, PC, integration with external storage systems, Security concepts & implementation (RBAC, service accounts, secrets, certificate management, policy engines), Helm familiarity, CKA certification - a plus
- Kubernetes application development / deployment principles
- CNCF projects & tools
- DevOps principles; GitOps, builds, pipelines
- Networking; Switching, routing, VLANs