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AI Cloud Engineer

Hill AFB, UT💼 Full-time💰 $106,300–$106,300🗓 2026-09-29 → 2026-10-01

Core

Build and operate GPU-enabled Kubernetes infrastructure, data lakes, and streaming analytics to support AI/ML training, inference, and model serving for US federal defense missions.

Role type

Senior IC cloud infrastructure engineer (AI/ML focus)

Builds

GPU-enabled Kubernetes clusters, data lake/streaming pipelines, model registry/serving environments

Domain

Defense / National Security / Cloud Infrastructure

Deliverable

production ML models

Required skills

Kubernetes (GPU-enabled), Infrastructure as Code (Terraform, Ansible), Python/Bash/PowerShell scripting, Cloud security (Zero Trust), CI/CD pipeline operations

Preferred skills

Data pipeline tools (Kafka, Airflow, Spark), Model registry/serving tooling, NIST AI RMF concepts, AWS/Azure AI/ML certifications, CompTIA Security+

Technologies

Kubernetes, Terraform, Ansible, Python, Bash, PowerShell, Apache Kafka, Apache Airflow, Apache Spark, AWS, Azure

Responsibilities

Build and operate GPU-enabled Kubernetes infrastructure for AI/ML workloads; Implement Infrastructure as Code for AI/ML components; Implement cloud security controls aligned with Zero Trust Architecture; Monitor and troubleshoot GPU compute and data pipeline infrastructure; Support CI/CD pipeline operations for AI/ML model deployment; Collaborate with data platform and AI/ML architecture teams on infrastructure requirements

Seniority

Mid-Senior, hands-on IC

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