Google - Chicago, IL

posted 3 days ago

Full-time - Mid Level
Chicago, IL
5,001-10,000 employees
Web Search Portals, Libraries, Archives, and Other Information Services

About the position

As a Cloud Platform and Infrastructure Developer at Google, you will provide exceptional technical guidance to customers adopting Google Cloud Platform (GCP) services. This role involves designing and implementing cloud-based technical architectures, automating infrastructure provisioning, and ensuring customers receive the best experience in migrating, building, modernizing, and maintaining applications in GCP. You will work closely with Product Management and Engineering to drive excellence in Google Cloud products and features, helping businesses thrive through innovative cloud solutions.

Responsibilities

  • Provide domain expertise in cloud platforms and infrastructure; solving complex cloud platform challenges.
  • Work with customers to design and implement Cloud based technical architectures, migration approaches, and application optimizations that enable business objectives.
  • Be a technical advisor and perform troubleshooting to resolve technical challenges for customers.
  • Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
  • Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, related technical field, or equivalent practical experience.
  • 3 years of experience automating infrastructure provisioning, DevOps, continuous integration, or delivery.
  • Experience designing cloud enterprise solutions and supporting customer projects to completion.
  • Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.

Nice-to-haves

  • Experience building prototypes or applications.
  • Experience with GCP techniques such as prompt developing, dual encoders, and embedding vectors.
  • Knowledge of containerization and container orchestration technologies such as Google Kubernetes Engine (GKE).
  • Familiarity with standard IT security practices such as identity and access management, data protection, encryption, certificate and key management.

Benefits

  • Health insurance
  • 401k
  • Paid holidays
  • Flexible scheduling
  • Professional development
  • Employee stock purchase plan
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