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Platform Engineer

Location:
Germany
Salary:
Negotiable
Job Type:
Permanent
Date Posted:
about 1 month ago
Expiry Date:
19/09/2024
Job Ref:
BBBH112870_1722865605
Start Date:
05/08/2024
Contact:
Steven Waterson
Contact Email:
steven.waterson@xcede.de
Specialism:
DevOps

Do you have several years of experience in Kubernetes and containerization and seek exciting challenges in an innovative, agile, and owner-managed company? Do you enjoy working with the latest cutting-edge technologies?

As part of our team of experienced cloud engineers, you will assume responsibility in customer projects following a comprehensive induction program.

About the job:

  • Collaborate with colleagues to document and analyze customer requirements in the Kubernetes environment

  • Create and coordinate concepts

  • Conduct customer workshops and proof-of-concept installations as part of a team

  • Provide customer consulting support using Kubernetes and container technologies

  • Ensure close collaboration with other evoila teams, comprehending their concepts and solutions

  • Offer sales support by establishing and maintaining customer relationships

  • Ensure a long-term and collaborative partnership with our customers

  • You aspire to enhance your skills in designing, building, and maintaining a modern, flexible, and highly available multi-cloud Kubernetes platform.

Who you are:

  • Hold a university degree in computer science, e-technology, physics, or mathematics or related subjects

  • Alternatively, have completed training as an IT specialist (m/f/d) for system integration

  • Possess a confident demeanor, strong analytical and conceptual skills, the ability to work in a team, and a customer-oriented mindset

It would be optimal if ...:

  • You have experience in cloud native software development.

  • You have at least 5 years' experience in building and maintaining a Kubernetes platform.

  • You have technical experience with PaaS solutions (Cloud Foundry, Heroku, IBM Cloud etc..).

  • You have technical experience with at least one of the biggest hyperscaler (EKS, AKS, GKE...).

  • You are mastering all virtualization topics concerning an on-prem infrastructure and know how they can impact the Kubernetes environment (VMs, Storage solutions and their implementation, Networking at Layer4 and Layer7 with different providers, High-Availability etc..).

  • You have technical know-how and experience about Edge topics in relation to Kubernetes and Containers

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Steven Waterson

Steven Waterson

Specialisms: AI & Machine Learning, AI Research, NLP, Machine Learning, Computer Vision, Generative AI, AI Engineering
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