Platform Engineer (m​/f​/d

About Redcare Pharmacy:
As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today.

About Redcare Pharmacy:
As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today.

About the Role:
As a Platform Engineer, you’ll join our platform team within the Data & AI department and contribute to building and evolving our next-generation AI Platform. You will work on the platform foundations that enable teams to develop, deploy, govern, monitor, and scale AI systems safely and reliably.

You’ll have the opportunity to take ownership of platform components and improvements, working with Kubernetes, Databricks, cloud-native technologies, and modern AI platform patterns while supporting our mission of delivering reliable and efficient systems.



Job Description


About your tasks

• Build, configure, and maintain platform infrastructure in Microsoft Azure using established Infrastructure as Code practices and tools such as Terraform.
• Support the operation and continuous improvement of the Azure Databricks platform, including configuration, automation, monitoring, access management, and troubleshooting.
• Operate and improve our Azure Kubernetes-based platform for the Data & AI department, supporting the deployment, management, and scaling of services using established Git Ops and CI/CD practices.
• Implement platform changes and new capabilities following existing architecture patterns, security requirements, and engineering standards.
• Contribute to reusable automation and self-service platform capabilities that make it easier for engineering, Data, and AI teams to deploy and operate their workloads.
• Monitor platform health, investigate operational issues, and independently resolve standard support cases, escalating complex problems when appropriate.
• Collaborate with Platform, Data, AI, MLOps, and Security colleagues and contribute to technical discussions, documentation, and platform improvements.
• Participate in architecture and design discussions, bringing technical input and implementing agreed solutions with support from more experienced engineers when needed.
• Continuously develop your knowledge of cloud-native and Data & AI platform technologies and explore relevant technologies that can improve our platform.

• Hands-on experience working with Microsoft Azure and a good understanding of core cloud concepts such as compute, networking, storage, identity, and security.
• Practical experience with containers and Kubernetes, and an understanding of how containerized workloads are deployed and operated.
• Experience with Infrastructure as Code, specifically Terraform; familiarity with tools such as Helm is an advantage.
• Experience creating or maintaining standard deployment pipelines and working with Git-based development and delivery workflows。
• Familiarity with logging, monitoring, and troubleshooting production or platform environments, with the ability to resolve common operational issues independently.
• Experience with at least one programming or scripting language such as Python, Go, or Shell for infrastructure automation and platform tooling.
• Familiarity with Azure Databricks or similar Data & AI platforms, or a strong motivation to develop hands-on expertise in this area.
• Basic understanding of Data, Machine Learning, or AI workloads and how infrastructure and platform capabilities support them.
• Able to take ownership of your work, organize your tasks independently, communicate progress and challenges, and proactively ask for input when dealing with…