Cloud Infrastructure Specialist

3 weeks ago

Gothenburg, Västra Götaland, Sweden Redeploy Full time

About Redeploy Insight

We specialize in building modern cloud data platforms to serve clients across the Nordics, enabling 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.

Redeploy Insight has successfully delivered large-scale and innovative data platforms to prominent clients. Our dedicated team is passionate about enabling enterprise-scale analytical capabilities, empowering our clients to gain profound insights and make informed, impactful decisions.

The demand for cloud-based analytical platforms is constantly growing, and we are now looking for a Cloud Infrastructure Specialist to join our growing team in Stockholm or Gothenburg. You will work in a fast-paced environment where you will collaborate with some of the most brilliant minds in the field and contribute to the evolution of our platforms with your expertise in Cloud Infrastructure Engineering.

About the Role

As a Cloud Infrastructure Specialist specializing in Cloud, Data AI, you will be part of our Analytics Infrastructure team who provide tailor-made Data Analytics solutions together with our clients. In this role, you will be combining people, processes, and technologies to ensure that the needs of each of our individual customers are met. You will work hands-on with solutioning, building, implementing, automating, and optimizing our clients' Data Analytics solutions, mainly within Azure.

You can expect to be working with diverse and exciting projects that will expand your knowledge across various companies and industries, as well as working with modern tools and data platforms.

Requirements

  • Engineering degree in Computer Science or Software Development
  • Experience in designing, implementing, and managing Azure cloud Data Landing Zone or AI-solutions, such as Retrieval augmented generation (RAG)
  • 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 to recommend and implement improvements, including but not limited to Azure Databricks, Data Lake, and Azure Data Factory, Azure Open AI, Azure AI Search
  • Fluency in English with good written and communication skills

Preferred Qualifications

  • Azure certifications such as Azure Administrator Associate or Azure Solutions Architect
  • Preferred experience in technical consulting projects

About You

  • A person with passion to innovate and design new products and help customers find the best possible solutions to their needs
  • Passionate about solving challenging and analytical and infrastructure problems in a fast-paced and ever-changing environment
  • Confident in yourself and your own abilities, but also open to learning new things and embracing new challenges

What We Offer

  • The opportunity to work with the latest technology and projects within Analytics AI
  • A fun and developing work environment with good cohesion and atmosphere
  • The opportunity to impact your own development

How to Apply

If you're ready to launch your career and make a meaningful impact on organizations through your passion for Cloud Infrastructure Engineering, then don't hesitate to send in your application by hitting the apply button.

We look forward to hearing from you.

Note: To be eligible for the role, you need to be based in Stockholm, Gothenburg, or Jönköping, or have plans to relocate to either of the locations.

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