Additionalinformation

Additional Information

#LI-Onsite

Position Information

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

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.

Companydescription

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.

Jobdescription

Job Description

We have an opening for a DevOps engineer to join Livermore Computing’s Platform Services Team responsible for a robust, scalable, infrastructure that combines HPC and cloud-related approaches. You will support and develop tools and services for LC users on a variety of hardware platforms. The goal is to support state of the art tools for developers and scientists, including LC’s on-premises services described at https://hpc.llnl.gov/services/cloud (e.g. Persistent Data Services, containers, object storage, and workflow tools). This position is in the Livermore Computing Division within the Computing Directorate.

Business needs require that this position have an on-site presence multiple days a week. Telecommuting options will be limited.

You will

• Build, deploy, support, and enhance containerized applications and software stacks in LC OpenShift/Kubernetes clusters using established tools, processes, and practices.
• Identify and communicate technical issues and contribute to solutions using established DevOps practices.
• Perform software engineering using established development practices, tools, and processes for achieving robust software quality; including testing, configuration management, change management, and documentation.
• Collaborate closely with other technical teams/developers to ensure solutions are secure and integrated with other services as appropriate.
• Provide timely, customer-focused support and guidance to HPC users of assigned tools and services..
• Assist with administration and maintenance of OpenShift/Kubernetes infrastructure in Linux environments, following established operational, development, and security requirements.
• Assist with evaluating, deploying, and maintaining monitoring, alerting, and logging tools for assigned DevOps infrastructure. Support and improve automating deployments of infrastructure services and applications with the design principles of high availability and zero downtime updates.
• Work with users, LC/LLNL security, and other DevOps engineers regarding use of on-premises and third-party, cloud-based AI offerings, while understanding what is available, what LC users want to use, and whether it satisfies LC security.
• Perform other duties as assigned.

Qualifications

• Ability to obtain and maintain a U.S. DOE Q-level security clearance which requires U.S. Citizenship.
• Bachelor’s degree in computer science, computer engineering, or a related field, or the equivalent combination of education and related experience.
• Familiarity with deploying web applications and/or micro-services in a containerized environment (e.g., Docker, Podman, Kubernetes, OpenShift).
• Familiarity with Python, Bash, JavaScript, or similar scripting languages.
• Familiarity with software testing and implementing continuous integration pipelines.
• Fundamental written and verbal communication skills necessary to collaborate effectively in a multi-disciplinary team environment, as well as the ability to work effectively with minimal guidance and as part of a team.
• Familiarity with CI pipelines that automate builds, tests, workflows, tasks or other processes.
• Fundamental knowledge of the Git version control system, including push/pull, rebase, cherry pick, branching.
• Ability to apply established technical methods to well-defined assignments.
• Ability to manage assigned priorities and resolve problems of limited complexity with guidance as needed.

Qualifications We Desire

• Experience with configuration management systems such as Ansible, Puppet, Chef or Salt.
• Familiarity with LC LlamaMe, a Large Language Model inference software stack, and/or familiarity with LC LaunchIT, a full-stack web service provisioning platform.
• Familiarity with OpenShift/Kubernetes GPU device plugins, the Kubernetes scheduler to manage GPU resource allocation, and configuring or supporting LLM workloads on GPU-based systems..
• Familiarity with HPC schedulers such as Slurm and Flux.

Pay Range

$121,830 - $154,500 annually

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.

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