Cloud Engineer

Idaho National Laboratory•Idaho Falls, ID

7d•Hybrid

About The Position

Idaho National Laboratory requires Cloud Engineers to design resilient cloud infrastructure solutions that power the nation's most critical nuclear and energy research. You'll design, develop, and implement scalable, secure, and reliable cloud solutions across distributed and hybrid architectures, plan and execute cloud migration strategies to move data and applications from on premises to cloud environments, and develop strategies for data protection, backup, and disaster recovery. Your responsibilities include supporting risk mitigation through continuous monitoring and vulnerability management, evaluating and integrating AI and machine learning services into cloud architectures, automating deployment and management using Infrastructure as Code tools, and collaborating with DevSecOps, cybersecurity, architects, and data scientists to define cloud strategies and best practices. You'll monitor system performance and health, troubleshoot issues, manage and optimize cloud resources for cost-efficiency, ensure compliance with security standards, maintain documentation, stay current with emerging technologies, and participate in on-call rotation for critical infrastructure support.

Requirements

Level 3: Bachelor's Degree in computer science, software engineering, information technology or related field and at least 5 years of direct professional experience, or in lieu of education commensurate with a High School diploma or equivalent and at least 11 years of direct/professional experience.
Level 4: Bachelor's Degree in computer science, software engineering, information technology or related field and at least 9 years of direct professional experience; or in lieu of a degree High School diploma or equivalent and at least 15 years of direct/professional experience.
Experience in cloud-based solutions and cloud infrastructure.
Ability to obtain and maintain a Department of Energy "L" clearance, which requires US Citizenship.

Nice To Haves

Professional certifications such as AWS Certified Solutions Architect and Microsoft Certified: Azure Solutions Architect Expert preferred.
Strong understanding of cloud architecture, including compute, storage, networking, and security components.
Experience with containerization and orchestration tools such as Docker and Kubernetes.
Familiarity with automation and configuration management tools like Ansible and Terraform.
Knowledge of scripting languages such as Python, Bash, or PowerShell.
AI / LLM experience

Responsibilities

Design, develop, and implement scalable, secure, compliant, and reliable cloud infrastructure solutions across distributed and hybrid architectures to meet project and stakeholder needs.
Plan and execute cloud migration strategies to move data, IT infrastructure, and applications (both native and non-native) from on premises to cloud environments.
Develop and manage strategies for data protection, backup, and disaster recovery across hosted and on-premises workloads.
Support risk mitigation activities, including continuous monitoring, vulnerability management, and configuration management.
Evaluate and integrate AI and Machine Learning (AI/ML) services into cloud architectures to enhance automation, observability, and operational intelligence.
Automate deployment, monitoring, and management processes using Infrastructure as Code (IaC) tools and practices.
Collaborate with cross-functional teams (DevSecOps, Cybersecurity, Architects, Network Engineers, Data Scientists, and AI Engineers) to define cloud strategies, architecture, platforms, and best practices.
Provide technical support and guidance to developers and IT staff on cloud-related issues and best practices.
Monitor system performance, reliability, and health; troubleshoot issues and provide timely resolutions to minimize downtime.
Manage and optimize cloud resources to ensure cost-efficiency, performance, and availability.
Ensure compliance with industry standards and regulations for cloud security to protect sensitive data.
Maintain up-to-date documentation for cloud infrastructure, configurations, procedures, and policies.
Stay current with emerging cloud technologies and industry trends, applying best practices to continuously improve the cloud environment.
Mentor junior engineers.