
Senior Azure Platform Engineer – AI, Data
Orderfox Schweiz AG
full-time
Posted on:
Location Type: Hybrid
Location: Zürich • Switzerland
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Job Level
About the role
- Own and evolve our Azure environment (Container Apps, Functions, storage, networking, data pipelines)
- Scale our scraping and vision extraction systems as data volumes grow
- Automate provisioning and operations (IaC where it fits, AI-assisted tooling where it’s faster)
- Build observability that’s actionable: monitoring, alerting, and cost tracking that actually helps
- Create CI/CD pipelines that let engineers ship agents fast and safely
- Establish patterns and standards that make the platform easier to build on (templates, conventions, guardrails)
- Architect for future needs: MLOps readiness, multi-vertical scaling, and agent orchestration at scale
- Optimize Azure spend responsibly, including a $44 M commitment to use efficiently
Requirements
- 5+ years building and running systems on Azure
- experience scaling data acquisition and pipelines (ETL, scraping, feature engineering, reliability at volume)
- MLOps/DataOps exposure (Azure ML, Databricks, experiment tracking, model lifecycle thinking)
- ability to explain technical trade-offs to non-technical stakeholders in a crisp, pragmatic way
- comfortable in Python for scripting, building internal tools, and creating small utilities
Benefits
- 25 vacation days
- additional company holidays
- full salary continuation during maternity, paternity, and military leave
- modern workspaces
- snacks
- evolving extras as we grow
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AzureContainer AppsFunctionsdata pipelinesIaCCI/CDMLOpsPythonETLscraping
Soft Skills
communicationexplanation of technical trade-offspragmatism