Cloud DevOps Engineer

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory’s mission.

Pay Range

$168,780 - $214,032 Annually for the SES.3 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.

We have an opening for a Cloud DevOps Engineer. You will join the Cloud, AI Integration, and Applications team, where you will architect, implement, and support secure and scalable cloud solutions across AWS and Azure. Your responsibilities will include managing enterprise cloud environments, enforcing security and compliance, developing service catalog offerings, and leveraging cloud-based AI services to support mission needs. Your work will play a critical role in enabling the laboratory to adopt modern technologies efficiently and securely. This position is in the Information Technology Solutions (ITS) Division within the Computing Directorate, in support of LivIT. 

This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home one or more days per week.

You will

• Administer and manage enterprise-wide cloud environments in AWS and Azure, including identity (e.g., IAM, Microsoft Entra ID), access, networking, resource provisioning, budgeting, and compliance. 
• Build, maintain, and enhance service catalog items to support compliant provisioning of cloud resources such as EC2, S3, RDS, Azure VMs, Storage Accounts, and databases. 
• Monitor and enforce cloud security and compliance using tools such as AWS Config, GuardDuty, Security Hub, Azure Policy, and Microsoft Defender for Cloud. 
• Architect and implement scalable solutions, including server fleets, containerized applications (ECS/EKS, AKS), and event-driven serverless applications (Lambda, Azure Functions). 
• Provide guidance and hands-on support to teams deploying cloud-based solutions, ensuring alignment with best practices in security, scalability, and cost-efficiency. 
• Leverage AI/ML services such as Amazon Q, Bedrock, SageMaker, Azure OpenAI, and Azure Machine Learning to improve workflows and develop intelligent solutions. 
• Manage multiple cloud environments using agile methodologies and stay current with emerging cloud technologies, AI capabilities, and security best practices. 
• Perform other duties as assigned.

• Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
• Bachelor’s degree in computer science, engineering, or related field, or equivalent combination of education and experience.
• Deep knowledge of AWS and/or Azure services, including compute, storage, networking, identity, and security components (e.g., EC2, Lambda, S3, RDS, VPC, CloudWatch). 
• Experience managing multi-cloud environments with responsibilities across access control, cost management, compliance, and identity management. 
• Proficiency in Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, AWS CDK, and ARM/Bicep templates. 
• Experience architecting and managing cloud-native workloads including serverless functions, container-based services, and traditional virtualized infrastructure. 
• Understanding of AI/ML services and ability to integrate them into operational workflows and cloud-based applications. 
• Strong programming experience in languages such as Python, Node.js, Java, or .NET.
• Excellent communication and collaboration skills with the ability to work across multidisciplinary teams.

Qualifications We Desire

• Experience implementing AI/ML services in production cloud environments and integrating them into scalable solutions. 
• Professional certifications in AWS and/or Azure (e.g., Solutions Architect, DevOps Engineer, Security) and familiarity with Kion cloud governance platform.
• Familiarity with security and compliance frameworks such as NIST, CIS Benchmarks, or FedRAMP.

#LI-Hybrid

Position Information

This is a Career Indefinite position, open to Lab employees and external candidates.

Why Lawrence Livermore National Laboratory?

• Included in 2025 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.