Job description

Bounty Description Industry: Information Technology - Computer Software Job Category: Information Technology - System Support 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 client's 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. What you’ll experience: • 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 What you bring to the table: • A Bachelor’s degree in Computer Science, a related field or equivalent experience plus a minimum of 8 years of relevant experience; or Master's 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 What sets you apart: • 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 Skills and Certifications [note: bold skills and certification are required] Linux Docker Kubernetes AI/ML Security Clearance Required: Yes Visa Candidate Considered: No Compensation Base Salary - USD $126,000 to $138,000 *** Never repost *** Full-time Benefits - Full Relocation Assistance Available - Yes Commission Compensation - No Bonus Eligible - No Overtime Eligible - No Interview Travel Reimbursed - No Candidate Details 7+ to 10 years experience Seniority Level - Mid-Senior Management Experience Required - No Minimum Education - Bachelor's Degree Willingness to Travel - Occasionally Screening Questions Do you have experience with Linux? Do you have experience with Docker, Kubernetes, etc.? Work must be done onsite at our Scottsdale, AZ facility. Are you OK with this? Do you have an active DoD TS/SCI with Poly clearance? Ideal Candidate Candidate needs to have an active Dept. of Defense TS/SCI with Poly clearance. There is no flex on this, cannot need reinstated or anything like that Experience with Linux Experience with Docker and/or Kubernetes Work-Life Balance • Flexible schedules including a 9/80 option (every other Friday off) • Generous paid time off and parental leave • Employees consistently highlight low micromanagement and autonomy in their roles • Strong Benefits • 401(k) with 6% company match and immediate vesting • Comprehensive medical, dental, and vision insurance • Life and disability coverage • Tuition assistance for continued education Meaningful, Impactful Work • A team of 12,000+ professionals engineering high-tech solutions across defense and scientific domains • Employees get to work on challenging projects that contribute to national security and scientific advancement Collaborative Environment • Employees praise the supportive, collaborative culture -- "Everyone helped each other in a time of need" • Strong community involvement and veteran support programs Employee Loyalty • Average employee tenure of 12 years, which speaks to long-term satisfaction and retention • 4.0 out of 5 stars on Indeed in 2026 It's a combination of mission-driven work, strong compensation/benefits, genuine work-life balance, and a culture that values its people.

Requirements

Must-haves

Bounty Description
Industry: Information Technology - Computer Software
Job Category: Information Technology - System Support
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.
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.
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 Master's 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
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

Nice-to-haves

Experience working with or familiarity with AI/ML models is preferred

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Keywords to mirror

aimachine learningci/cdmldockerkubernetes

Platform: catsone
Effort: medium

Benefits

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401(K)

Paid Time Off

Parental Leave