Platform Engineer
Indexed description
YOUR TEAM
You'll join our dynamic Merchandising Solutions department, comprising over 20 highly skilled professionals, including data scientists, software engineers, and application developers. Our team thrives on collaboration, innovation, and continuous learning, united by a mission to deliver state-of-the-art analytics and AI solutions that empower BESTSELLER's global operations. Your primary workplace will be at our vibrant office in Aarhus.
YOUR NEW ROLE
As Platform Engineer, you will help build and operate the Appretio platform - the foundation our data scientists, engineers, and developers rely on every day. You will work alongside senior platform and DevOps engineers and help build the self-service capabilities that let our product teams move fast. This is a platform-as-product role: your customers are internal, and you will see the impact of your work on fellow engineers every week.
You will be supported with hands-on mentorship, clear areas of ownership, and room to grow toward more senior platform responsibilities over time.
YOUR IMPACT
In this role, you will:
- Build and maintain cloud infrastructure on AWS using infrastructure-as-code (Terraform, Helm, Kubernetes).
- Contribute to the AWS migration of Appretio, including the Medallion (Bronze / Silver / Gold) data architecture and the infrastructure that runs it.
- Help build self-service capabilities and golden paths that make the paved road the easy road for product teams.
- Support reliability, security, and cost-efficiency improvements across the platform.
- Collaborate with data science, engineering, DevOps, and DataOps teams to keep the platform grounded in real developer needs.
- Work with our agentic development environment.
- Engage with an expert, collaborative team committed to innovation and excellence.
- Access comprehensive professional growth opportunities, including specialized training programs and international exposure.
- Benefit from extensive support for ongoing education, certification, and skill development.
- A degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
- Experience working with cloud infrastructure (AWS preferred; Azure or GCP also valuable).
- Hands-on experience with Kubernetes, Terraform, Helm, or similar infrastructure-as-code tooling.
- Familiarity with CI/CD pipelines and containerised workflows (e.g. GitHub Actions, Docker).
- Solid scripting skills (Python, Bash, or similar).
- A curious mindset and the willingness to learn in a fast-moving, AI-driven environment.
- Good communication skills, able to collaborate effectively across technical and non-technical teams.
- Exposure to data platforms (Databricks, Snowflake) or streaming (Kafka).
- Experience with monitoring and observability tooling (Datadog, Prometheus, Grafana, ELK stack).
- Interest or experience in MLOps or running AI / machine-learning workloads.
- Interest or experience in agentic AI development workflows (e.g. Claude Code or containerised AI agents).
WORK LOCATION: Your primary workplace will be at our office in Aarhus.
About BESTSELLER E-Commerce
At BESTSELLER, we are more than 15,000 people working for over 20 fashion brands such as JACK & JONES, SELECTED, VERO MODA, ONLY, PIECES, VILA, OBJECT, MAMALICIOUS, NAME IT, NOISY MAY and Y.A.S. At BESTSELLER E-Commerce, we are an international team of 170 people from more than 40 nationalities with the purpose to drive all e-commerce functions at BESTSELLER. With our office in the heart of Amsterdam as well as locations in Poland and Denmark, we are supporting all fashion brands of the BESTSELLER family and sell online in 15 countries around the world. We work in an environment where fashion meets technology. Challenging ourselves to offer the best experience to our customers and stakeholders and to work with the latest technologies is what drives us. As a team, we value autonomy and flexibility. We thrive in a flat organisation, where everyone has the chance to grow and learn. For more information, please go to www.bestseller.com.
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