Dev Ops System Administrator

Education Requirements:

Bachelor s degree in Computer Science a related field or equivalent experience is required plus a minimum of 8 years of relevant experience; or Masters degree plus 6 years of relevant experience.

Clearance Requirements:
Department of Defense TS/SCI with Polygraph security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities U.S. citizenship is required.

Put your engineering talent to the ultimate test. At General Dynamics Mission Systems we create the technologies products and services that help our service members intelligence analysts and first responders keep our nation safe. The work we do is so advanced our teams often redefine what s possible for the world. If you want to be a leader with the company that delivers smart solutions for our nation s challenges this is your opportunity.

We apply advanced technologies such as Artificial Intelligence Blockchain AR/VR Cloud Native and Quantum Physics to solve our customers missions in cyber RF undersea interstellar and everything in between.

We are seeking a skilled AI DevOps System Administrator to build manage and optimize the infrastructure supporting our Artificial Intelligence and Machine Learning initiatives in a classified environment. The ideal candidate will be responsible for maintaining the CI/CD pipeline for ML models managing GPU resources and ensuring the stability scalability and security of the AI development and deployment environment. This role requires close collaboration with data scientists and ML engineers to streamline workflows from model development to production.

Key Responsibilities:

• Design implement and maintain scalable and robust infrastructure for AI/ML model training and inference.
• Develop and manage CI/CD pipelines for automated building testing and deployment of AI applications and machine learning models.
• Administer and optimize Linux-based systems and virtualized environments.
• Manage containerization and orchestration platforms (e.g. Docker Kubernetes) to deploy and scale ML services.
• Automate infrastructure provisioning configuration management and deployment processes using Infrastructure as Code (IaC) tools like Ansible or Terraform.
• Manage and allocate GPU resources efficiently for model training and other high-performance computing tasks.
• Implement and maintain monitoring logging and alerting systems to ensure platform health and performance.
• Collaborate with development teams to support their infrastructure needs and troubleshoot issues.

As a seasoned leader you ll be involved with our clients decision-making process by serving as a front-line interface to users with technical issues and conducting systems analysis and development to keep systems current with changing technologies. Your duties may include installing new software troubleshooting granting permissions to applications and training users. You ll also be responsible for the day-to-day support of server services by performing server administration for physical and virtual server operating systems and configuring maintaining and troubleshooting of physical and virtual hardware and network related interfaces on servers. We ll rely on you to perform maintain troubleshoot and conduct a complete analysis of alerts; create scripts to automate repetitive processes; and work with customers to identify isolate and resolve problems with servers that are affecting other services.

• Technologies that aren t just top-notch they re often top-secret
• A team of bold thinkers committed to exploring what s next
• Opportunities to gain new knowledge - as it s discovered

• A Bachelor s degree in Computer Science a related field or equivalent experience plus a minimum of 8 years of relevant experience; or Masters degree plus 6 years of relevant experience
• Advanced understanding of server based operating systems
• Strong Linux/Container/AI Skills
• Subject matter expert (SME) with the ability to mentor others on administrating the server environment
• Enhanced troubleshooting skills within the server OS as well as both networking and storage technologies
• Hands-on experience developing deploying and supporting large-scale enterprise server solutions
• Experience working with or familiarity with AI/ML models is preferred

• Team player who thrives in collaborative environments and revels in team success
• Broad understanding of the interrelationships within the IT environment with focus on server and services
• Senior level knowledge of physical and virtual server support
• Senior level knowledge of access permissions and security that gives the clients the access to the data they need to perform their daily activities
• Identifies opportunities to apply AI for continuous improvement and innovation