Looking for a place where you can challenge yourself, build serious tech and have a good time doing it?

At Redeploy, we design, build, scale and maintain modern solutions across Cloud, Data and AI, helping ambitious companies across the Nordics transform how they work with technology. As a trusted partner to Microsoft, AWS and Databricks, we deliver platforms that are built for impact and built to last.

What sets us apart is the way we work. Curiosity runs deep here, as does the drive to keep learning and sharing. You’ll join a team that values ownership, collaboration and high technical standards, and where people genuinely care about doing things well. For our clients. And for each other.

What you'll do

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.

In this role you will be tasked to craft robust and scalable cloud infrastructure solutions, which involves selecting and implementing appropriate cloud services and platforms to effectively support the storage, processing and analysis of large datasets. The role ranges from developing and implementing data architecture strategies to ensure management of structured and unstructured data, to creating solutions for ML model training, evaluation, and inference to ensure that AI applications deliver meaningful insights.

You'll be the trusted expert and advisor for our clients and teammates, guiding them through challenges, supporting pre-sale activities and technical delivery. You can expect to work on exciting and different types of projects that will expand your knowledge and understanding across various companies and industries.

What we’re looking for

• Master's degree in Computer Science, Information Technology, Data Science, or a related field (mathematics, physics, engineering)
• 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
  
  

And if you come with below experiences, we see it as a great advantage:

• Certification in Databricks Partner Champion, Professional Data Engineer, Azure DevOps Expert, or Azure Solutions Architect Expert
  

Who are you?

• 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
  

Curious to learn more before applying? Have a look around our career site to explore our culture, people and way of working. And if you have any questions, feel free to reach out to our Talent Acquisition Manager, Francisca Andersson.

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