Senior Cloud Development Engineer

We have an opening for a Senior Cloud Development Engineer. You will be a member of the Cloud Center of Excellence integrated project team where you will design implement and support the cloud infrastructure and AI services to provide a rapid secure and cost-effective solutions for the laboratory. You will play a critical role in enabling the workforce to leverage cloud and AI technologies. You will be responsible for cloud governance security and AI platform deployment. This position is in the Enterprise Infrastructure Services (EIS) Division within the Computing Directorate in support of LivIT.

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

This position will be filled at either the SES.3 or SES.4 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 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.

Additional job responsibilities at the SES.4 level 

• 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 LivITs 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. 

Qualifications :

• Ability to obtain and maintain a US DOE Q-level security clearance which requires U.S. Citizenship.
• Bachelors 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 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.

Additional qualifications at the SES.4 level 

• Expert knowledge of GenAI tools & frameworks LLMs and agentic AI.
• Highly advanced hands-on experience with at least two automation tools frameworks or Infrastructure-as-Code (IaC) platforms such as Ansible Terraform Kubernetes Puppet Jenkins or comparable solutions. 
• Extensive experience serving as a mentor to team members sharing expertise to enhance AI skills and capabilities across the organization. 

Qualifications We Desire

• 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.

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  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.

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  Remote Work :

  No

  
  

  Employment Type :

  Full-time