Staff DevOps Engineer - Kubernetes, GPU & CI/CD (Flexible)

Lockheed Martin Corporation; Fort Meade (MD); On-site; USD 167,000 - 310,000; Full time

Benefits offered by this job

Medical benefits

Flexible work arrangements

401(k) match

Paid time off

Job summary

Lockheed Martin, Cyber & Intelligence invites you to step up to one of today’s most daunting challenges: protecting networks against evolving cyber threats. The GG DevOps SWE role centers on development, deployment, and operation of complex systems using C++ or Python, Kubernetes, and GPU technologies.

The successful candidate will design pipelines, manage Kubernetes clusters, debug defects, optimize GPU resources, and implement automated testing and deployment with Jenkins or GitLab CI/CD,

Qualifications

• Bachelor’s degree or equivalent experience with 12+ years of professional experience.
• Security clearance and polygraph required to apply.
• USG SOW Appendix B Level 3 capabilities specified for the role.

Responsibilities

• Design, implement, and maintain DevOps pipelines for C++ or Python applications using Kubernetes deployment and administration.
• Manage Kubernetes clusters for high availability, scalability, and security.
• Identify, debug, and correct defects in existing software with effective troubleshooting.
• Configure and optimize GPU resources for performance-critical apps using CUDA or similar tech.
• Implement automated testing and deployment with Jenkins or GitLab CI/CD.
• Collaborate with system architects and project managers to meet user requirements and deadlines.
• Maintain comprehensive documentation for software designs, processes, and interfaces.

Skills

Kubernetes

C++ development

Python scripting

Linux OS

DevOps practices

Education

Bachelor’s degree or equivalent experience

Tools

Kubernetes

Helm

Ansible

GitLab CI/CD

Jenkins

Job description

Lockheed Martin, Cyber & Intelligence invites you to step up to one of today’s most daunting challenges: protecting networks against evolving cyber threats. The GG DevOps SWE role centers on development, deployment, and operation of complex systems using C++ or Python, Kubernetes, and GPU technologies.

The successful candidate will design pipelines, manage Kubernetes clusters, debug defects, optimize GPU resources, and implement automated testing and deployment with Jenkins or GitLab CI/CD,