Machine Learning Platform

About Galaxus

As the top Swiss e-commerce platform, with a crew of over 3’000 across Switzerland, Germany, and Serbia, Galaxus is poised to move into new markets. Our driving force is our determination to keep challenging the status quo. That’s why we’re on the lookout for characters who’re passionate about making genuine improvements. We’ll give you the freedom and trust to make an impact, to grow with us and to be yourself. Act galactic. Be you

Machine Learning Platform

Deine Aufgaben

• You take technical ownership for the architecture and evolution of our platform products:
• Own and drive the system design vision for our Data Platform & ML Platform, and align it with the broader technical strategy
• Define and clarify stable interfaces with other teams (e.g., dataset/data product contracts, APIs, event/stream contracts, feature definitions)
• Lead initiatives smoothly— acting as solution architect or enabling another engineers on that role
• Ensure our technical decisions are consistent across solutions (security patterns, IAM, observability, CI/CD, data quality, governance)
• Continuously reduce technical debt and guide incremental refactoring of legacy parts
• Review and challenge designs: ask probing questions, surface assumptions, and help reduce complex concepts to clear building blocks and simple interfaces
• Drive non-functional improvements: scalability, reliability, performance, cost efficiency, and security
• Collaborate closely with our Domain Architect, and partner stakeholders (e.g., Data Architect, Data Protection Officer) to ensure the platform supports compliance and federated governance

Deine Fähigkeiten

• Higher specialized education in the field of Computer Science (ETH/UNI/FH)
• Hands-on experience with an enjoyment of coding
• A strong track record in designing and delivering platform solutions supporting distributed systems built by many different teams
• Solid platform/DevOps engineering skills: cloud technologies (ideally GCP and Azure), CI/CD, automation, Docker containers, and orchestration (Kubernetes). Infrastructure-as-code (e.g., Terraform) is a plus
• Strong understanding of data platform concepts such as orchestration and processing (e.g., Airflow, Dagster), data warehouses (BigQuery), and ETL/ELT practices
• Familiarity with streaming/event-driven systems (e.g., Kafka)
• At least 5 years of professional experience in Python programming
• Professional experience in C# is a strong plus
• Background in Data Science or ML Engineering is a plus -you understand the pain points of training, deploying, and operating ML models at scale
• Great communication skills in English; German is a plus

Warum startest du bei uns?

• Cooperative, innovative, piratesque, responsible, ambitious – these five values are what we practise and preach
• We encourage everyone to think on their feet, and love it when they come up with bold or edgy ideas
• Courageous thinking:
• Uncomplicated approach:
• We offer working-from-home options, up to 8 weeks of workation, and every position is possible with an 80% workload
• Flexibility and freedom:
• With us, growth is a continuous journey. We also support you with 2'000 EDU points per year for your professional development so there’s no risk of you getting stuck in a rut
• 25 days of holiday, exclusive employee conditions in our online shop, mobile, internet and TV plans at company rates

To build the best team, we want to draw from the full spectrum of talent out there. This means people from all walks of life have the same opportunities with us, regardless of their ethnicity, religion, disability status, gender identity, sexual orientation or age. We believe true inclusion means everyone is welcome and each contribution is valuable