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.
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Published
11 days ago
Expires
in about 1 month
Work mode
hybrid
Source
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