Senior Cloud Engineer

About the role

The Senior Cloud Engineer will design, implement, and manage cloud solutions supporting the National Nuclear Security Administration's (NNSA) business services and programmatic missions, including scientific research and mission-critical operations.

Responsibilities

• Deploy and manage cloud infrastructure in support of scientific, engineering, and business applications.
• Develop and architect automation scripts and Infrastructure-as-Code (IaC) solutions for cloud resource provisioning and management.
• Apply application development skills using Python for automation, Infrastructure as Code tools for provisioning, and cloud provider SDKs to deploy cloud and AI services.
• Collaborate with researchers, engineers, and IT staff to migrate workloads and optimize applications for cloud environments.
• Monitor cloud performance and usage, and implement solutions for high availability, scalability, and cost efficiency.
• Ensure compliance with Department of Energy (DOE) and NNSA security policies and federal regulations for cloud operations.
• Provide technical support, documentation, and training for cloud users across the enterprise.
• Stay abreast of emerging cloud technologies and recommend adoption of innovative solutions.

Requirements

• Ability to obtain and maintain a US DOE Q-level security clearance which requires U.S. Citizenship.
• Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field, or an equivalent combination of technical education and relevant experience.
• Significant experience in cloud platform administration and support, with experience in technologies such as AWS, Azure, Google Cloud Platform, or hybrid cloud environments.
• Advanced knowledge of cloud AI/ML platforms and services, such as AWS Bedrock, SageMaker, Azure AI services, Google Vertex AI, or vector databases.
• Advanced knowledge of cloud infrastructure operations, including resource provisioning, automation, and the use of infrastructure management tools.
• Advanced understanding of cloud support systems, such as virtual networking, identity and access management, Service control policies and monitoring solutions.
• Significant experience documenting and deploying cloud services in a secure manner, adhering to industry best practices and NIST guidance to ensure compliance and adherence with an organization’s cyber security policies.
• Significant experience managing and troubleshooting cloud-based resources and services, including performance monitoring and incident response.

Qualifications

• Ability to obtain and maintain a US DOE Q-level security clearance which requires U.S. Citizenship.
• Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field, or an equivalent combination of technical education and relevant experience.
• Significant experience in cloud platform administration and support, with experience in technologies such as AWS, Azure, Google Cloud Platform, or hybrid cloud environments.
• Advanced knowledge of cloud AI/ML platforms and services, such as AWS Bedrock, SageMaker, Azure AI services, Google Vertex AI, or vector databases.
• Advanced knowledge of cloud infrastructure operations, including resource provisioning, automation, and the use of infrastructure management tools.
• Advanced understanding of cloud support systems, such as virtual networking, identity and access management, Service control policies and monitoring solutions.
• Significant experience documenting and deploying cloud services in a secure manner, adhering to industry best practices and NIST guidance to ensure compliance and adherence with an organization’s cyber security policies.
• Significant experience managing and troubleshooting cloud-based resources and services, including performance monitoring and incident response.

Skills

• Python for automation.
• Infrastructure as Code tools for provisioning.
• Cloud provider SDKs for deploying cloud and AI services.
• Application development skills using Python for automation, Infrastructure as Code tools for provisioning, and cloud provider SDKs to deploy cloud and AI services.
• Collaboration with researchers, engineers, and IT staff to migrate workloads and optimize applications for cloud environments.
• Monitoring cloud performance and usage, and implementing solutions for high availability, scalability, and cost efficiency.
• Ensuring compliance with Department of Energy (DOE) and NNSA security policies and federal regulations for cloud operations.
• Providing technical support, documentation, and training for cloud users across the enterprise.
• Staying abreast of emerging cloud technologies and recommending adoption of innovative solutions.

Benefits

Lawrence Livermore National Laboratory offers a comprehensive benefits package including:

• 401(k) retirement plan
• Relocation assistance
• Education reimbursement program
• Flexible schedules

Pay

$175,530 - $222,564 Annually for the SES.3 level
$210,630 - $267,060 Annually for the SES.4 level

Schedule

This position requires full-time on-site presence due to the nature of the work.