Cloud Engineer - Data Centers, Google Distributed Cloud (Remote)

Google

Warszawa, Śródmieście +1 more
hybrid
🚢 Kubernetes
hybrid

Requirements

Expected technologies

Kubernetes

Optional technologies

Java

JavaScript

Python

VMware

OpenShift

Our requirements

  • Bachelor's degree in Computer Science or equivalent practical experience.
  • Experience project managing and delivering technical solutions.
  • Experience with architecting, developing, and maintaining technical solutions by leveraging virtual machines, containers (e.g., Kubernetes/GKE), serverless computing, or software defined networking (SDN).
  • Experience working in a cloud computing environment (i.e., infrastructure, storage, platforms or data).
  • Experience working in Data Centers.
  • Successful candidates will be required to obtain or currently possess EU Security Clearance which requires EU nationality.

Optional

  • Experience with customer-facing migrations, including service discovery, assessment, planning, execution, and operations.
  • Experience reading software code in one or more languages (e.g., Java, JavaScript, or Python).
  • Experience with Kubernetes, GKE, or EKS.
  • Experience in architecting, developing, and maintaining solutions leveraging virtual machines, containers, and an understanding of integrating with on-premise data center infrastructure.
  • Experience in systems design with an ability to architect or explain complex systems interactions including data flows, common interfaces, APIs, and methods available.
  • Familiarity with data center operations, migration strategies, and hybrid cloud architectures (e.g., VMware, OpenShift).

Your responsibilities

  • Work with customer development leads, client executives, and partners to manage and deliver successful, modern cloud applications; becoming a trusted advisor to decision makers throughout the engagement.
  • Propose solution architectures and manage the deployment of cloud native application development solutions according to customer requirements and implementation best practices.
  • Work with internal specialists, Product, and Engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
  • Advise on application re-design and implementation (e.g., containerization, scaling, reliability), emphasizing bridging data center and cloud environments.
  • Travel approximately 30% of the time for client engagements.

Company

Views: 6
Published11 days ago
Expiresin about 1 month
Work modehybrid
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