Galaxus, Switzerland’s top e-commerce platform with 3,000+ team members, is expanding fast. Team Empire builds the Data \& ML Platform powering analytics and ML use-cases. We’re looking for a hands-on Software Architect to shape technical vision, drive trade-offs, and help engineers deliver at scale. Act galactic. Be you.
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Apply nowGalaxus
DG Hauptsitz
Pfingstweidstrasse 60b8005 Zürich
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We welcome all applications, but can only consider applications submitted online. Applications submitted by post will be disposed of for data protection reasons and will not be returned.
What you move
Main task
Own and drive the system design vision for our Data Platform \& ML Platform, and align it with the broader technical strategy.
Main task
Define and clarify stable interfaces with other teams (e.g., dataset/data product contracts, APIs, event/stream contracts, feature definitions).
Main task
Lead initiatives smoothly— acting as solution architect or enabling another engineers on that role.
Main task
Ensure our technical decisions are consistent across solutions (security patterns, IAM, observability, CI/CD, data quality, governance).
Main task
Continuously reduce technical debt and guide incremental refactoring of legacy parts.
Main task
Review and challenge designs: ask probing questions, surface assumptions, and help reduce complex concepts to clear building blocks and simple interfaces.
Main task
Drive non-functional improvements: scalability, reliability, performance, cost efficiency, and security.
Main task
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.
What you will bring
At least 2-3 yearsSoftware Architect
Completed degree (university / university of applied science / higher technical college) English (Fluent) German (Good knowledge)Desired
Higher specialized education in the field of Computer Science (ETH/UNI/FH).
Mandatory
Hands-on experience with an enjoyment of coding.
Mandatory
A strong track record in designing and delivering platform solutions supporting distributed systems built by many different teams.
Mandatory
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.
Mandatory
Strong understanding of data platform concepts such as orchestration and processing (e.g., Airflow, Dagster), data warehouses (BigQuery), and ETL/ELT practices.
Desired
Familiarity with streaming/event-driven systems (e.g., Kafka).
Mandatory
At least 5 years of professional experience in Python programming.
Advantageous
Professional experience in C# is a strong plus.
Advantageous
Background in Data Science or ML Engineering is a plus - you understand the pain points of training, deploying, and operating ML models at scale.
Mandatory
Great communication skills in English; German is a plus.
The benefits we offer
Flexible working hours Flexible workplace / working from home Maternity/paternity leave Employee offers Holidays Individual continuing training Initial and continuing vocation training Personal responsibility \& freedom Room to manoeuvre and decision-making Werte statt blablaApplication and contact details
Maja Crljen
Information for recruitment agencies
Only direct applications will be considered for this position.