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Cloud Engineer - AWS, GCP, Azure - Remote - €85,000

Findr
Frankfurt, DE
Homeoffice
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Cloud Engineer - AWS, GCP, Azure - Remote - €85,000

Germany's public sector needs digitising fast! Here is your chance to play a key role in the modernisation of government technical infrastructure.

One example of their work is building the 'German Justice Cloud' - a huge project which is digitally transforming the 20,000 courts in Germany.

They're also building important software for emergency vehicles, the fire service and the ministry of finance so you'll always be engaged in interesting, diverse, pro-social project work.

What are the benefits?

  • Unlimited holiday - You are trusted to get the work done and decide yourself when you need a break.
  • Health budget, gym pass, family health insurance.
  • Flat hierarchies, additional pension scheme, job ticket, day-care budget.

What are the main responsibilities?

  • Strategic consulting for the introduction of cloud technologies under customer-specific requirements.
  • Design and develop sophisticated cloud solutions and architectures with regards to reliability, security, performance and costs.
  • Develop implementation and operating concepts for the creation of modern cloud applications.

What skills should I bring to the table?

  • At least three years of professional experience in software engineering.
  • Strong and practical experience with services in at least one of the cloud platforms Azure, AWS or GCP.
  • A hands-on mentality and experience in the productive use of container platforms and serverless technologies (e.g. Kubernetes, OpenShift, Knative or Lambda).
  • Skills with cloud native tools for continuous integration & delivery, observability and security (e.g. GitLab, Jenkins, Prometheus, Grafana or NeuVector).

Keywords : cloud, software, cloud engineering, architecture, software engineering, software development, Agile, Scrum, AWS, GCP, Azure, Kubernetes, OpenShift, GitLab

Could you be interested? Apply now to secure one of 2 positions available.

Vor 11 Stunden
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