Asks for

The ad says“Advanced knowledge of cloud AI/ML platforms and services, such as AWS Bedrock, SageMaker, Azure AI services, Google Vertex AI, or vector databases.”
The ad says“Significant experience in cloud platform administration and support, with experience in technologies such as AWS, Azure, Google Cloud Platform, or hybrid cloud environments.”
The ad says“Advanced knowledge of cloud AI/ML platforms and services, such as AWS Bedrock, SageMaker, Azure AI services, Google Vertex AI, or vector databases.”
The ad says“Significant experience in cloud platform administration and support, with experience in technologies such as AWS, Azure, Google Cloud Platform, or hybrid cloud environments.”
The ad says“Advanced knowledge of cloud AI/ML platforms and services, such as AWS Bedrock, SageMaker, Azure AI services, Google Vertex AI, or vector databases.”
The ad says“Highly advanced experience with resource provisioning, automation, and infrastructure as management tools, such as Python, Terraform, CloudFormation, Cloud Development Kit(CDK), or similar platforms.”
The ad says“Highly advanced experience with resource provisioning, automation, and infrastructure as management tools, such as Python, Terraform, CloudFormation, Cloud Development Kit(CDK), or similar platforms.”
The ad says“Comprehensive knowledge of compliance frameworks, such as National Institute of Standards and Technology (NIST), FedRAMP, and related standards, with proven experience implementing and maintaining compliance within cloud environments.”
The ad says“Significant experience in cloud platform administration and support, with experience in technologies such as AWS, Azure, Google Cloud Platform, or hybrid cloud environments.”
The ad says“Advanced knowledge of cloud AI/ML platforms and services, such as AWS Bedrock, SageMaker, Azure AI services, Google Vertex AI, or vector databases.”
The ad says“Advanced understanding of cloud support systems, such as virtual networking, identity and access management, Service control polices and monitoring solutions.”
The ad says“Develop and architect automation scripts and Infrastructure-as-Code (IaC) solutions for cloud resource provisioning and management.”
The ad says“Comprehensive knowledge of compliance frameworks, such as National Institute of Standards and Technology (NIST), FedRAMP, and related standards, with proven experience implementing and maintaining compliance within cloud environments.”
The ad says“Apply application development skills using Python for automation, Infrastructure as Code tools for provisioning, and cloud provider SDKs to deploy cloud and AI services.”
The ad says“Advanced knowledge of cloud AI/ML platforms and services, such as AWS Bedrock, SageMaker, Azure AI services, Google Vertex AI, or vector databases.”
The ad says“Highly advanced experience with resource provisioning, automation, and infrastructure as management tools, such as Python, Terraform, CloudFormation, Cloud Development Kit(CDK), or similar platforms.”
The ad says“Advanced knowledge of cloud AI/ML platforms and services, such as AWS Bedrock, SageMaker, Azure AI services, Google Vertex AI, or vector databases.”
The ad says“Advanced understanding of cloud support systems, such as virtual networking, identity and access management, Service control polices and monitoring solutions.”

Company Description

Join us and make YOUR mark on the World!

Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.

Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.

Job Description

We have an opening for a Senior Cloud Engineer to join our team. In this position, you will be responsible for designing, implementing, and managing cloud solutions that support the National Nuclear Security Administration’s (NNSA) business services and programmatic missions, including scientific research and mission-critical operations. This position is in the Enterprise Infrastructure Services (EIS) Division within the Computing Directorate.

You will work closely with multidisciplinary teams to drive innovation, improve scalability, and ensure the secure and efficient utilization of cloud resources for NNSA initiatives. This role supports multiple sites across the country and occasional travel is required to collaborate with stakeholders and partners. This position offers the opportunity to work in a dynamic and highly technical environment, supporting critical infrastructure for enterprise-level applications.

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

This position will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level.

You will

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.
Perform other duties as assigned.

Additional job responsibilities, at the SES.4 level

Lead the development of and implement advanced cloud computing. environments that align with customer needs and enterprise system strategies, ensuring optimal performance and scalability.
Independently lead the configuration and use of systems and cloud management tools to monitor, maintain, and optimize complex infrastructure operations effectively.
Identify, troubleshoot, and document highly complex system and network issues to ensure timely resolution and minimize disruptions.

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 polices 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.
Advanced interpersonal, verbal, and written communication skills, with the ability to work independently while effectively collaborating with customers and team members and present and explain technical information and provide advice to management.

Additional qualifications at the SES.4 level

Expert experience managing enterprise cloud environments, including platforms such as AWS, Azure, and hybrid cloud networking.
SME knowledge of troubleshooting techniques, with strong skills in resolving issues through analysis of logs, metrics, and cloud-native diagnostic tools.
Highly advanced experience with resource provisioning, automation, and infrastructure as management tools, such as Python, Terraform, CloudFormation, Cloud Development Kit(CDK), or similar platforms.
Significant experience with hybrid cloud architecture and expertise in integrating on-premises environments with cloud platforms in air-gapped environments.
Significant experience training and mentoring team members, focusing on cloud engineering best practices and architectural design principles.

Qualifications We Desire

Active Department of Energy (DOE) Q-level clearance or active Top-Secret clearance (TS/SCI) issued by another U.S. government agency at the time of hire.
AWS Certified Solutions Architect - Professional, AWS Certified DevOps Engineer - Professional, or an equivalent advanced cloud certification.
Comprehensive knowledge of compliance frameworks, such as National Institute of Standards and Technology (NIST), FedRAMP, and related standards, with proven experience implementing and maintaining compliance within cloud environments.

Pay Range

$175,530 - $222,564 Annually for the SES.3 level

$210,630 - $267,060 Annually for the SES.4 level

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.

Additional Information

#LI-Onsite

Position Information

This is a Flexible Term appointment, which is for a definite period not to exceed six years. If final candidate is a Career Indefinite employee, Career Indefinite status may be maintained (should funding allow).

Why Lawrence Livermore National Laboratory?

Included in 2026 Best Places to Work by Glassdoor!
Flexible Benefits Package
401(k)
Relocation Assistance
Education Reimbursement Program
Flexible schedules (*depending on project needs)
Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.

Pre-Employment Drug Test

External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Wireless and Medical Devices

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.

If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

How to identify fake job advertisements

Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

Equal Employment Opportunity

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.