Cloud Engineer – Hybrid/Remote, AI & Security

Idaho National Laboratory; Idaho Falls (ID); Hybrid; USD 95,000 - 234,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) with company match

Paid time off

Tuition assistance

Relocation package

Job summary

Idaho National Laboratory is seeking a Cloud Engineer to design and implement scalable, secure cloud infrastructure across distributed and hybrid architectures. The role involves migrating data and applications to cloud environments, establishing data protection and disaster recovery strategies, and collaborating with DevSecOps, cybersecurity, and data scientists.

Ideal candidates have cloud experience, containerization skills with Docker/Kubernetes, and proficiency in automation tools like

Qualifications

• Education per Level 3/4 requirements: Level 3 — Bachelor's + 5+ years or equivalent with 11+ years; Level 4 — Bachelor's + 9+ years or equivalent with 15+ years.
• Experience in cloud-based solutions and cloud infrastructure.
• US Citizenship and ability to obtain DOE L clearance.

Responsibilities

• Design, develop, and implement scalable cloud infrastructure across distributed and hybrid architectures.
• Plan and execute cloud migration strategies from on premises to cloud environments.
• Develop data protection, backup, and disaster recovery strategies.

Skills

Cloud architecture understanding

Automation / IaC familiarity

Cost optimization awareness

Mentoring junior engineers

Risk mitigation

Education

Bachelor's degree in computer science / software engineering / IT or related field

Equivalent experience in lieu of degree

Tools

Docker

Kubernetes

Ansible

Terraform

Python

PowerShell

Bash

Job description

Idaho National Laboratory is seeking a Cloud Engineer to design and implement scalable, secure cloud infrastructure across distributed and hybrid architectures. The role involves migrating data and applications to cloud environments, establishing data protection and disaster recovery strategies, and collaborating with DevSecOps, cybersecurity, and data scientists.

Ideal candidates have cloud experience, containerization skills with Docker/Kubernetes, and proficiency in automation tools like