Software Architect (f/m/d)
8 Tage altAngaben zum Job
| Firma | Galaxus |
| Kategorie | Informatik | Pensum | 80 - 100% |
| Einsatzort | Zürich |
Job-Inhalt
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.
What you move
- 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.
What you will bring
- At least 2-3 years: Software Architect
- Completed degree (university / university of applied science / higher technical college)
- English (Fluent)
- 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.
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
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