GCP DevOps Engineer Job at Eliassen Group, Concord, CA

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  • Eliassen Group
  • Concord, CA

Job Description

Our client, a successful industry leader in financial services and banking, has an excellent opportunity for a DevOps Engineer to work on a contract opportunity. The DevOps Engineer will have extensive experience in designing, implementing, and architecting solutions using GCP services, with a particular focus on GenAI applications. You will be responsible for building and maintaining Terraform modules and have a deep understanding of Vertex AI and its integration with GenAI models.

Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $70 - $85 / hr. w2

Responsibilities

  • Design, implement, and manage scalable, secure, and reliable cloud infrastructure on GCP.
  • Develop and maintain Terraform modules to automate infrastructure provisioning and management.
  • Collaborate with cross-functional teams to define and implement cloud architecture best practices.
  • Utilize Vertex AI to build, deploy, and manage machine learning models and workflows, with a focus on Generative AI applications.
  • Integrate GenAI models into existing systems and workflows to enhance business processes and capabilities.
  • Monitor and optimize system performance, reliability, and security.
  • Troubleshoot and resolve infrastructure-related issues in a timely manner.
  • Stay up-to-date with the latest GCP services, GenAI advancements, and features, and evaluate their potential impact on our infrastructure.
  • Document processes, configurations, and best practices to ensure knowledge sharing and continuity.

Experience Requirements

  • Proven experience as a DevOps Engineer or in a similar role with a focus on GCP.
  • Expertise in Terraform for infrastructure as code (IaC) and experience building reusable modules.
  • In-depth knowledge of GCP services, including but not limited to Compute Engine, Cloud Storage, BigQuery, Cloud Functions, and Kubernetes Engine.
  • Strong understanding of Vertex AI and its application in machine learning and GenAI workflows.
  • Extensive experience with Generative AI models and their deployment in production environments.
  • Experience with CI/CD pipelines and tools such as Jenkins, GitLab CI, or similar.
  • Proficiency in scripting languages such as Python, Bash, or similar.

Education Requirements

  • B.S. in Computer Science, Mathematics, or Engineering or equivalent work experience
  • GCP Professional Cloud Architect or DevOps Engineer certification.
  • Experience with other cloud platforms (e.g., AWS, Azure) is a plus.
  • Familiarity with containerization technologies such as Docker and Kubernetes.
  • Experience with natural language processing (NLP) and computer vision applications in GenAI.

Job Tags

Contract work, Work experience placement,

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