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Role Overview
As a Software Engineer, you’ll build the applications and infrastructure that bring our data and ML capabilities to life. You’ll develop user-facing applications, APIs, and maintain the deployment infrastructure that supports our data and ML platforms.
Key Responsibilities
As a Software Engineer, you’ll build the applications and infrastructure that bring our data and ML capabilities to life. You’ll develop user-facing applications, APIs, and maintain the deployment infrastructure that supports our data and ML platforms.
Key Responsibilities
- Application Development
- Build and maintain microservices and web applications
- Develop REST APIs for internal and external consumption
- Implement authentication, authorization, and security best practices
- Write clean, testable, and maintainable code
- Frontend Development
- Create user interfaces using modern JS frameworks for complex applications (React, Vue, Angular)
- Build rapid prototypes and dashboards (d3js, plotly)
- Implement responsive design and user experience best practices
- Integrate frontend applications with backend APIs
- Infrastructure & DevOps
- Maintain CI/CD pipelines using GitLab workflows or GitHub Actions
- Deploy applications using Cloud Run and containerization
- Manage infrastructure using Terraform (minimal, focused scope)
- Monitor application performance and reliability
- System Integration
- Integrate ML models and APIs into business applications
- Build data connectors and ETL utilities as needed
- Implement system monitoring and alerting
- Support application troubleshooting and maintenance
- Backend Development: Python, FastAPI, REST APIs
- Frontend Development: React, VueJS, JavaScript/TypeScript, HTML/CSS (Tailwind, Shadcn)
- Cloud Platforms: Google Cloud Platform, Cloud Run, GKE
- DevOps: CI/CD, Git workflows, basic infrastructure management
- Databases: SQL & NoSQL, experience with cloud databases (Cloud SQL, Spanner, Firestore)
- Experience with Infrastructure as Code (Terraform)
- Knowledge of Kubernetes and container orchestration
- Familiarity with monitoring tools (Prometheus, Grafana)
- Experience with mobile app development
- Background in data visualization libraries (D3.js, Plotly)
- 3-5 years of full-stack or backend development experience
- Strong Python programming skills
- Experience with cloud application deployment
- Familiarity with modern web development practices
- Technical: Full-stack expertise, system architecture, cloud-native development
- Leadership: Lead application development projects, mentor developers
- Specialization: Focus on frontend, backend, or infrastructure specialization
- Partner with ML Engineers to integrate ML capabilities into applications
- Work with Data Platform Engineers to build data-driven applications
- Collaborate with business stakeholders on application requirements and user experience
Key Skills
Ranked by relevance
cloud
python
react
cicd
sql
infrastructure as code
google cloud platform
data visualization
responsive design
microservices
kubernetes
prometheus
responsive
prototypes
terraform
fastapi
gitlab
nosql
git
vue
etl
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- Posted
- Oct 27, 2025
- Type
- Full-time
- Level
- Associate
- Location
- Villars-sur-Glâne
- Company
- Cartier
Industries
Retail Luxury Goods
Jewelry
Categories
Engineering
Information Technology
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