Senior Cloud & AI Infrastructure Engineer

Pantex Plant; Amarillo (TX); Sur place; USD 110 000 - 160 000; Plein temps

Description du poste

Location: Amarillo, TX - Pantex Plant

Job Title: Cloud Solutions Engineer

Career Level From: Specialist

Career Level To: Senior Specialist

Organization: Cloud and Database Administrat (51435721)

Job Specialty: System Administration

What You’ll Do

• As a Cloud and Artificial Intelligence (AI) Infrastructure Administrator, you will be responsible for implementing and maintaining cloud solutions in support of a national security mission to maintain the safety, security, and effectiveness of the United States nuclear weapons stockpile.
• Working as part of the Information Technology (IT) organization’s IT Infrastructure team, the Cloud and AI Infrastructure Administrator position offers you the ability to install, manage, and maintain a growing cloud-based infrastructure in a large, distributed network environment.
• In addition, you will have the opportunity to engineer and work with IT project management and other IT Subject Matter Experts to implement new technologies, including those that support AI solutions.
• You will also be responsible for configuration, setup, operational, and day-to-day support of a growing cloud environment, with a particular focus on the infrastructure underpinning our AI initiatives.
• Install, configure, administer, manage, and support Software as a Service (SaaS) and Platform as a Service (PaaS) solutions running in both Azure and Amazon Web Services (AWS).
• Optimize buildouts of cloud solutions, including specialized infrastructure for AI/Machine Learning (ML) workloads.
• Design and engineer cloud solutions to meet customer requirements, with consideration for AI application performance and scalability.
• Deploy, configure, and manage Azure resources specifically designed for AI and ML services, such as Azure Machine Learning workspaces, Azure AI services, and Graphics Processing Units (GPU)-enabled virtual machines.
• Monitor and optimize the performance, capacity, and cost-effectiveness of AI infrastructure, ensuring efficient utilization of compute and storage resources for AI/ML models.
• Collaborate with data scientists and AI/ML engineers to support the deployment and operationalization of AI models within the cloud environment.
• Provide after-hours support for emergencies and occasional weekend maintenance.
• Develop and maintain current operational procedures, user documentation, and user training materials applicable to the supported systems.

Minimum Job Requirements

• Bachelor's degree in engineering/science/information technology discipline: Minimum 4 years of relevant experience. Typical engineering/science/information technology experience ranging from 6 to 10 years.
• OR Master's degree in engineering/science/information technology discipline: Minimum 2 years of relevant experience.
• OR PhD.
• OR applicants without a bachelor's degree may be considered based on a combination of at least 12 years of completed education and/or relevant experience.
• Requires a Q clearance; the ability to obtain and maintain a Department of Energy Q clearance is required.

Preferred Job Requirements

• System administration skills in server operating systems such as Microsoft Windows or Linux.
• In-depth problem-solving and troubleshooting.
• Ability to communicate clearly (orally and written) with technical and non-technical staff.
• 3+ years cloud administration in either Azure or AWS environment.
• 3+ years working with Infrastructure as a Service (IaaS), SaaS, or PaaS environments hosted in either Azure or AWS.
• Familiarity with Azure’s AI and Machine Learning services and their underlying infrastructure.
• Understanding of compute requirements for AI/ML workloads, including GPU provisioning and configuration.
• Bachelor’s degree in engineering/science/information technology discipline with a minimum of five years of relevant experience or a Master’s degree in engineering/science/information technology discipline with a minimum of three years of relevant experience.
• Experience with FedRAMP cloud requirements.
• Experience with GovCloud Environments.
• General understanding of Networking equipment and technology.
• Experience with backup/recovery in a cloud environment.
• Experience with disaster recovery in a cloud environment.
• Experience with implementing cybersecurity controls and monitoring in a cloud environment.
• Strong Scripting skills (e.g., PowerShell, Azure CLI, Python, Bash, IaC).
• Experience with Hypervisor technologies such as VMWare or Hyper-V.
• Experience with SAML authentication and identity federation in cloud environments (AWS, Azure).
• Experience with multi-factor authentication cloud environments (AWS, Azure).
• Experience with Azure Cost Management or AWS Cost Explorer.
• Ability to present technical and operational information clearly and effectively through the oral and written word, solve complex technical problems, and be alert to changes that may affect the security and operational environment of systems.
• Hands‑on experience deploying and managing AI/ML specific Azure services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks).
• Knowledge of Machine Learning Operations (MLOps) principles and practices, particularly as they relate to infrastructure automation and monitoring.
• Experience with containerization technologies (e.g., Docker, Kubernetes) for deploying AI applications.

Benefits

Health coverage, robust retirement planning, and educational reimbursement opportunities. Comprehensive support for work‑life balance.

EEO Statement

Pantex is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, religion, national origin, ancestry, genetic information, disability or veteran status.