Senior Cloud & AI Infrastructure Engineer Job Amarillo area,Texas USA,Engineering

Location:

Amarillo, TX - Pantex Plant

Job Title:

Cloud Solutions Engineer

Career Level From:
Specialist

Career Level To: Senior Specialist

Organization: Cloud and Database Administrat )

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 work spaces, 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 Gov Cloud 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…