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Lawrence Livermore National Laboratory · 10 hours ago

Senior Cloud Development Engineer

Livermore, CA

Full-time

Onsite

Senior Level

$176K/yr - $223K/yr

Lawrence Livermore National Laboratory (LLNL) is a leader in advancing science and technology to strengthen U.S. security and promote global stability. The Senior Cloud Development Engineer will design, implement, and support cloud infrastructure and AI services, playing a critical role in enabling the workforce to leverage these technologies.

Information TechnologyMarket ResearchSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Deploy and manage cloud and AI infrastructure including EC2, VPC, S3, Bedrock, SageMaker, and RAG (Retrieval-Augmented Generation) architectures and knowledge bases

Leverage application development skills using Python, AWS CDK, Boto3 to automate cloud and AI service deployment

Design and maintain cloud native CI/CD and AI pipelines integrating foundation models with enterprise data sources

Develop tools, scripts, and templates that automate cloud security controls, governance, compliance validations, and operational processes

Collaborate with systems administrators, developers, stakeholders, and leadership to develop solutions for cloud infrastructure provisioning, monitoring, management, and troubleshooting

Implement and maintain cloud security best practices, ensuring proper access controls and permissions for both traditional and AI workloads

Engage with laboratory scientists, researchers, and developers to understand their workloads and enable cloud and AI technologies

Draft and publish infrastructure architectural artifacts and assets

Present and communicate solutions to technical and non-technical stakeholders

Perform other duties as assigned

Evaluate and integrate emerging AI technologies and tools in support of strategic cloud initiatives

Contribute to the definition and development of AI strategies that support LivIT’s goals and deliver value for our customers

Serve as a mentor to and share knowledge with team members to enhance AI skills and abilities across the organization

Qualification

AWS core servicesAI/ML platformsCloud security best practicesInfrastructure as codePythonKubernetesCloud automation toolsCommunication skillsCollaboration skillsMentoring skillsRelationship buildingProblem-solving skills

Required

Ability to obtain and maintain a US 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 related experience

Significant experience in AWS core services, such as API Gateway, S3, EC2, Lambda, SNS, SQS, VPC, CloudWatch, AWS RDS, or DynamoDB

Significant experience with AI/ML platforms and services, such as AWS Bedrock, SageMaker or vector databases

Significant experience implementing cloud services and automation using tools, such as Python, AWS CDK, AWS CLI, SAM, or CloudFormation

Fundamental understanding of object-oriented programming, data structures, event-driven architecture using languages, such as .NET, Java or Python

Advanced knowledge of security best practices in AWS using IAM, SCP, KMS, GuardDuty, Config, or OAuth

Advanced knowledge of infrastructure as code (IaC) using AWS CloudFormation, Terraform, CDK, or CI/CD tools such as CodePipeline, Jenkins, GitLab

Advanced experience with Kubernetes, ECS, or EKS

Advanced communication, facilitation, and collaboration skills necessary to effectively present, explain and advise senior management

Preferred

Exceptional relationship building, collaboration and communication skills with a proven ability to interpret customer requests to develop system requirements

AWS or Azure cloud certifications (Solutions Architect / DevOps Engineer / GenAI Developer)

Experience using cloud management or cloud FinOps tooling to manage commercial cloud environments and services

Benefits

Flexible Benefits Package

401(k)

Relocation Assistance

Education Reimbursement Program

Flexible schedules (•depending on project needs)

Company

Lawrence Livermore National Laboratory

Glassdoor4.5

Lawrence Livermore National Laboratory, a national security laboratory, provides transformational solutions to national security challenges.

Founded in 1952

Livermore, California, USA

5001-10000 employees

http://www.llnl.gov

Funding

Current Stage

Late Stage

Total Funding

$11.4M

Key Investors

ARPA-EUS Department of EnergyDARPA

2023-11-21Grant

2023-08-14Grant

2022-09-19Grant

Leadership Team

Greg Herweg

Chief Technology Officer

David Shaughnessy

Deputy Chief Financial Officer

Recent News

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