Cloud Infrastructure Specialist

2 weeks ago


Stockholm, Stockholm, Sweden Redeploy Full time

About Redeploy Insight


We specialize in building modern cloud data platforms to serve clients across the Nordics. 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. We are passionate about enabling enterprise-scale analytical capabilities, empowering our clients to gain profound insights and make informed decisions.


About the Role


We are seeking a Cloud Architect specializing in Data AI to join our growing team in Stockholm. As a Data AI Cloud Architect, you will work as part of our Architect team helping our clients innovate and improve their business by designing and implementing scalable, reliable, and secure cloud-based solutions for data and artificial intelligence applications.


Your key responsibilities will include:



  • Crafting robust and scalable cloud infrastructure solutions, selecting and implementing appropriate cloud services and platforms to effectively support the storage, processing, and analysis of large datasets.
  • Developing and implementing data architecture strategies to ensure management of structured and unstructured data.
  • Creating solutions for ML model training, evaluation, and inference to ensure that AI applications deliver meaningful insights.
  • Guiding our clients and teammates through challenges, supporting pre-sale activities, and technical delivery.

Requirements


To be considered for the role, you should have:



  • A Master's degree in Computer Science, Information Technology, Data Science, or a related field.
  • 5+ years of proven experience as a Cloud Architect, encompassing both the design of the architecture from the ground up and implementation with a focus on complex Data Analytics and AI solutions.
  • Experience in Software Development and/or Data Analytics.
  • Experience with Apache Spark (Databricks, MS Fabric).
  • Strong understanding of ML and AI concepts and frameworks.
  • Good knowledge of containerization and orchestration tools (Kubernetes, OpenShift).
  • Programming skills in languages such as Python or Scala.
  • Knowledge of Infrastructure as Code (IaC) tools such as Bicep or Terraform on Azure.
  • Familiarity with data governance, security, and compliance in cloud environments.
  • Working proficiency in English is required for this role, a plus if you also know Swedish.

Advantages


Certification in Databricks Partner Champion, Professional Data Engineer, Azure DevOps Expert, or Azure Solutions Architect Expert is highly valued.


Who Are We Looking For?



  • A person with passion to innovate and design new products and help customers to find best possible solutions to their needs.
  • A great communicator who can present, visualize, and translate complex technical and business scenarios to both technical and non-technical stakeholders.
  • Passionate about solving challenging problems in a fast-paced and ever-changing environment.
  • A positive person by nature who have a passion for what you do, putting teamwork and collaboration above all else.
  • A natural leader who demonstrates an aptitude for leadership, with the ability to guide and inspire team members towards shared goals and clients towards innovation.
  • Confident in yourself and your own abilities, but also open to learning new things and embracing new challenges.

How to Apply


If you're ready to launch your career and make a meaningful impact on organizations through your passion for Data, AI, and Cloud Architecture, then don't hesitate to send in your application.


We look forward to hearing from you.


Note: To be eligible for the role, you need to be based in Stockholm or have plans to relocate to the location.



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