Cloud Infrastructure Engineer
3 weeks ago
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.
Our team has successfully delivered large-scale and innovative data platforms to prominent clients, including Electrolux, Coop, Folksam, PostNord, and Handelsbanken. We are passionate about enabling enterprise-scale analytical capabilities, empowering our clients to gain profound insights and make informed decisions.
About the RoleAs an Azure Data AI Specialist, you will be part of our Analytics Infrastructure team, providing tailor-made Data Analytics solutions to our clients. In this role, you will combine people, processes, and technologies to ensure the needs of each client are met. You will work hands-on with solutioning, building, implementing, automating, and optimizing our clients' Data Analytics solutions, primarily within Azure.
You will 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. To be considered for the role, you should have experience in designing, implementing, and managing Azure cloud Data Landing Zone or AI-solutions, such as Retrieval augmented generation (RAG). You should also have experience with API development, containerization, and infrastructure-as-code concepts.
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
- Fluency in English with good written and communication skills
- Azure certifications such as Azure Administrator Associate or Azure Solutions Architect
- Preferred experience in technical consulting projects
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