DevOps Engineer

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.

We have an opening for a Development Operations (Dev Ops) Engineer. You will develop and support a robust, scalable, and operational infrastructure at the intersection of High-Performance Computing (HPC), on-prem cloud native technologies, and AI/ML software stacks to support, develop, and deploy collaboration tools and services for users of LLNL's high-performance computers. You will work independently, applying software engineering and Dev Ops skills on a variety of hardware platforms to enable state-of-the-art collaboration and productivity tools for developers and scientists located world-wide.

This position is in the Livermore Computing Division within the Computing Directorate.

This position will be filled at either the SES.
1 or SES.
2 level depending on your qualifications. Additional job responsibilities (outlined below) will be assigned if you are selected at the higher level.

You will

• Build, deploy, support, and enhance LLNL containerized applications and software stacks deployed in our LC Open Shift/Kubernetes clusters.
• Identify issues and propose solutions to technical problems across a wide range of projects and efforts to improve design and implementation of Dev Ops best 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.
• Engage directly with HPC customers who use our tools and systems, delivering timely, customer-focused support and guidance.
• Assist with managing Open Shift/Kubernetes container orchestration infrastructure in Linux, to support complex operational, development, and security requirements.
• Investigate and deploy infrastructure monitoring, alerting, and logging tools for the Dev Ops 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 and LC/LLNL security 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.

• Implement automation tools to help with deploying, troubleshooting, and maintaining cluster environments within container orchestration environments.
• Design, implement and manage build and release pipelines.
• Extend Kubernetes to help simplify researcher's usage and operations.
• Provide solutions to moderately complex problems involving largely identifiable factors.

• 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, Open Shift).
• Experience 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 effectively collaborate in a multi-disciplinary team environment, as well as the ability to work effectively with minimal guidance and as part of a team.
• Experience…