DevOps Engineer

Job Description:

The Lockheed Martin AI Center, AI Factory is looking for a dynamic engineer who thrives in a fast-paced, rapid-response environment. As part of the Mission Enablement Team, you will design and deliver innovative, scalable mission-centric hardware and cloud-native solutions that power Lockheed?

Martin's most advanced mission programs. You'll work hands-on with cutting-edge IT and AI infrastructure and translate complex challenges into real-world capabilities. As an AI Hardware and Full Stack Systems Engineer, you will be responsible for driving the development, modification, testing, deployment, and maintenance of applications and IT infrastructure in support of cutting-edge AI solutions. You will be a key technical resource for our hands-on enablement services, working closely with program engineering teams across all Lockheed Martin business areas to establish IT and AI infrastructure environments. What's in it for you? Opportunity to be a part of a rapid response, solutions development and innovation team, driving the development of cutting-edge infrastructure solutions Exposure to the latest technologies and industry trends in on prem and cloud computing as well as cutting edge artificial intelligence You will have a direct impact on the success of Lockheed Martin's AI solutions. Take ownership of innovative solution development and think beyond conventional boundaries You will be responsible for: Being a key technical resource for our hands-on Mission Enablement team, working closely with program engineering teams across all Lockheed Martin business areas Designing, developing, documenting, and testing infrastructure hardware Developing creative, straightforward solutions to technical and user experience challenges Designing and deploying hardware and cloud-based infrastructure using Infrastructure as Code solutions Deploying and sustaining complex Kubernetes platform offerings Providing inputs towards the architecture solution for software development environments Familiarity with AI and Machine Learning Services across cloud and on-premise environments Travel to support demonstration integration efforts •This position requires frequent access to sensitive and classified networks. The ideal candidate must be based in a location that is conveniently close to a major Lockheed Martin facility•

Qualifications:

3 years of demonstrated experience with Linux, Kubernetes and some Windows administration. Demonstrated experience with NVDIA GPU, Google TPU or ASICs Demonstrated experience with network hardware Demonstrated experience with compute, storage and network hardware Demonstrated experience with modern software development concepts such as CI/CD, Containerization, Infrastructure as Code. Must be near a major Lockheed Martin Facility with classified connectivity. Some travel is required. A Secret security clearance is required.