DevOps GCP Engineer

Industry: Electronics
Company size: 251-10K

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Job description

A U.S.-based company that is developing cutting-edge technological and audiovisual products and services is looking for a DevOps GCP Engineer. The engineer will be responsible for setting up and maintaining CI/CD pipelines for data engineering projects to guarantee the quick and easy delivery of new features and upgrades. The company creates and engineers products and services for consumers, businesses, automobile manufacturers, and other integrated automobile systems. This is an amazing opportunity for engineers who are eager to work at the forefront of cutting-edge technology while tackling challenges that ignite their creativity and drive.


Job Responsibilities:

  • To ensure the effective deployment and operation of data processing and analytics systems, collaborate closely with the teams responsible for data engineering and software development
  • Create, deploy, and maintain scalable and dependable infrastructure on GCP for workloads involving data engineering and analytics
  • Develop effective data pipelines by working with software developers and data engineers
  • Automate and streamline the installation and operation of data engineering and analytics software and services on the GCP
  • Work with the operations team to track down, analyze, and fix infrastructure and performance problems

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of relevant experience as a DevOps Engineer
  • Prolific experience working with the Google Cloud Platform
  • Demonstrable knowledge and experience with Terraform, Docker, and Kubernetes
  • Solid experience with data engineering tools 
  • Proficient comprehension of Python-based automation and scripting
  • Extensive knowledge of setting up and maintaining data engineering pipeline infrastructure on GCP
  • Demonstrable experience working with GCP services, including MLOps deployment on Vertex AI, and applications in data engineering and analytics
  • Familiarity with infrastructure-as-code tools, such as Terraform or Deployment Manager
  • Demonstrable experience with other cloud platforms like AWS and Azure
  • Strong understanding of CI/CD procedures and tools like Jenkins and Git
  • Working knowledge of multi-cloud environments
  • Familiarity with code review procedures and version control systems like Git
  • Nice to have some Google Cloud certifications, such as Google Cloud Certified - Professional, Cloud DevOps Engineer or Google Cloud Certified - Data Engineer
  • Familiarity with Jenkins is preferred
  • Excellent spoken and written English communication skills

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