Senior Cloud Engineer - AI/ML & Multi-Cloud for IC

Ethereum Technologies; Herndon (VA); Presencial; USD 130.000 - 180.000; Jornada completa

Descripción de la vacante

Ethereum Technologies is seeking a Senior Cloud Engineer to join our National Intelligence program. You will design, deploy, and support AI/ML workloads in cloud environments, advising on scalable cloud architectures and educating government customers on best-fit cloud services.

You will develop a baseline multi-cloud framework, maintain data models and architecture artifacts, and ensure designs align with IC policies and standards while optimizing cost and performance across CSPs.

Formación

• Active TS/SCI with Polygraph is required.
• Experience deploying AI/ML workloads in cloud environments.
• Experience integrating AI/ML services within cloud architectures (AWS, Azure, GCP, IBM, OCI) is required.
• 5+ years in cloud or hybrid environments.
• Strong knowledge of IaaS, PaaS, SaaS and data architecture.

Responsabilidades

• Design, deploy, and support AI/ML solutions in the cloud.
• Advise on robust, scalable cloud architectures to meet mission requirements.
• Educate government customers on appropriate cloud services.
• Develop baseline multi-cloud architecture methodologies and cost/performance optimization.
• Maintain data models, data dictionaries, and architecture artifacts.
• Ensure designs align with applicable policies and standards.

Conocimientos

AI/ML in cloud

Multi-cloud architecture

Data modeling

Cloud cost optimization

Cloud security

Cloud strategy

Educación

Bachelor's degree + 9+ years

Master's + 7+ years

PhD or JD + 4+ years

Herramientas

AWS Cloud

Azure

GCP

IBM Cloud

OCI

Descripción del empleo

Ethereum Technologies is seeking a Senior Cloud Engineer to join our National Intelligence program. You will design, deploy, and support AI/ML workloads in cloud environments, advising on scalable cloud architectures and educating government customers on best-fit cloud services.

You will develop a baseline multi-cloud framework, maintain data models and architecture artifacts, and ensure designs align with IC policies and standards while optimizing cost and performance across CSPs.