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Cloud Infrastructure Engineer

1 month ago

Gothenburg, Västra Götaland, Sweden Redeploy Full time
About Redeploy Insight

We are a leading provider of modern cloud data platforms, serving clients across the Nordics to enable enterprise-scale analytical capabilities. Our core focus lies in delivering cutting-edge solutions, including consulting expertise, managed services, and SaaS Data AI platforms. We take pride in our strategic partnerships with industry leaders such as Microsoft Databricks, positioning ourselves at the forefront of technological innovation.

Our team has successfully delivered large-scale and innovative data platforms to Electrolux, Coop, Folksam, PostNord, and Handelsbanken to name a few. We are passionate about enabling enterprise-scale analytical capabilities, empowering our clients to gain profound insights and make informed, impactful decisions.

The Role

We are seeking an experienced Infrastructure Engineer to join our Analytics Infrastructure team. As a key member of our team, you will be responsible for designing, implementing, and managing Azure cloud Data Landing Zone or AI-solutions, such as Retrieval augmented generation (RAG). You will also work with API development, containerization, networking, virtualization, and storage technologies within Azure.

Key responsibilities include:

  • Designing and implementing Azure cloud Data Landing Zone or AI-solutions
  • Developing and maintaining API connections
  • Containerizing applications using Docker and Kubernetes
  • Ensuring infrastructure-as-code concepts and experience with tools like Bicep and Terraform
  • Staying up-to-date with the latest Azure services and industry trends

We are looking for a motivated and experienced professional who is passionate about solving challenging and analytical and infrastructure problems in a fast-paced and ever-changing environment. If you have a strong background in Infrastructure Engineering and are eager to contribute to the evolution of our platforms, we encourage you to apply.

Requirements
  • Engineering degree in Computer Science or Software Development
  • Experience in designing, implementing, and managing Azure cloud Data Landing Zone or AI-solutions
  • Experience with API development, preferably AI service APIs
  • Experience with containerization, such as Docker and Kubernetes
  • Familiarity with networking, virtualization, and storage technologies within Azure
  • A solid understanding of infrastructure-as-code concepts and experience with tools like Bicep and Terraform
  • Programming knowledge of one or more of either Python, Node.js, Go, Powershell, Shell or YAML
  • Up-to-date with the latest Azure services and industry trends
  • Fluency in English with good written and communication skills

Preferred qualifications include Azure certifications such as Azure Administrator Associate or Azure Solutions Architect, and experience in technical consulting projects.