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Cloud DevOps Engineer

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Job Location drjobs

Livermore, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

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 cloudbased 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 inperson and virtual presence. You will have the flexibility to work from home one or more days per week.

You will

  • Administer and manage enterprisewide 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 eventdriven serverless applications (Lambda Azure Functions). 
  • Provide guidance and handson support to teams deploying cloudbased solutions ensuring alignment with best practices in security scalability and costefficiency. 
  • 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.

Qualifications :

  • Ability to secure and maintain a U.S. DOE Qlevel security clearance which requires U.S. citizenship.
  • Bachelors 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 multicloud 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 cloudnative workloads including serverless functions containerbased services and traditional virtualized infrastructure. 
  • Understanding of AI/ML services and ability to integrate them into operational workflows and cloudbased applications. 
  • Strong programming experience in languages such as Python 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.


Additional Information :

#LIHybrid

Position Information

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

Why Lawrence Livermore National Laboratory

Employment Type

Full-time

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