Cloud Engineer

Company: Search Jobs - INL Professional

Location: Idaho Falls, ID, United States (Remote)

Salary: $95.3k - $195.3k per year

Type: Full-time

Remote: Yes

Posted: 2026-08-04

About this role

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.

Essential Job Functions and 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 i...

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