Help shape what's next for the industry - with Orderfox.

Own the platform that powers AI agents at scale.

At Orderfox, we’re building AI agents that turn manufacturing data into action - identifying suppliers, revealing capacity, and enabling faster, smarter decisions. We're scaling quickly beyond CNC into injection moulding, sheet metal, additive manufacturing, and robotics. Our Azure platform is live and delivering value. Now we’re standardising and hardening it into a repeatable foundation for more agents, higher data volumes, and new verticals - this is where you come in.

As Senior Azure Platform Engineer, you’ll own the platform’s evolution and readiness for what’s next. You'll report to the CTO, work in a strong ~15-person engineering team, and ship with high autonomy - clear outcomes, fast decisions, no micromanagement, no heavyweight specs. We work AI-first (Claude, Cursor, Azure CLI) and favour building over meetings and slide decks.

What you'll make happen

• Platform & Infrastructure ownership
  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) - automation over manual work

• Build observability that’s actionable: monitoring, alerting, and cost tracking that actually helps

• DevOps & Team Enablement
  Create CI/CD pipelines that let engineers ship agents fast and safely

• Keep the engineering team unblocked on infrastructure topics (deployments, environments, access, tooling)

• Establish patterns and standards that make the platform easier to build on (templates, conventions, guardrails)

• Document key decisions and systems clearly so the team scales without tribal knowledge

• Platform Evolution
  Architect for future needs: MLOps readiness, multi-vertical scaling, and agent orchestration at scale

• Optimise Azure spend responsibly (including a $44 M commitment to use efficiently)

• Support Microsoft partnership requirements when needed (co-sell, marketplace)

What eases your start

You work AI-first. Claude, Cursor and Copilot are part of how you operate. You use LLMs to manage infrastructure, write automation, debug faster, and solve operational problems - for this role, that’s essential.

You’re at home on Azure in real environments. You’ve spent multiple (5+) years building and running systems on Azure. You know what it takes to operate reliably, and you have a strong sense for when to use Container Apps vs. Functions vs. other serverless patterns in practice.

You automate by default. Whether it’s Terraform, Bicep, or AI-assisted infrastructure management - you build automation that keeps the platform predictable, reproducible, and easy to run.

You take ownership and communicate clearly. You see what needs doing and drive it forward - proactively and pragmatically. You explain what you're building (and why) in a way that keeps the team aligned and reduces ambiguity.

You’re comfortable in Python when it helps. You script, build internal tools, and create small utilities that make systems easier to operate and teams faster.

You'll stand out if you bring:

Experience scaling data acquisition and pipelines (ETL, scraping, feature engineering, reliability at volume) • MLOps/DataOps exposure (Azure ML, Databricks, experiment tracking, model lifecycle thinking) • a track record of improving infrastructure without destabilising live systems • the ability to explain technical trade-offs to non-technical stakeholders in a crisp, pragmatic way

Practical requirements:

Swiss / EU / EFTA citizenship or a valid Swiss work permit AND availability to work on-site in Zurich (this is not a fully remote role)

This won't be right for you if

• You prefer clean specs over open-ended problems and ownership
• You want to design systems, but not build and run them
• You’re only interested in fully remote work
• You're looking for a slow-moving, highly structured environment

What you can look forward to

An inspiring location: Our Zurich HQ is in the historic Villa Windegg in Seefeld - right by the lake and just minutes from Stadelhofen station, with parks, cafés, and cultural spots nearby.

Flexibility that fits: A 42-hour flexitime week with regular office days, home-office options, and the opportunity to work up to 20 days a year from abroad.

A team that moves fast: Join a ~30-person international start-up where initiative, ownership, and quick decisions matter more than hierarchy. Direct access to the CTO and real influence on technical direction.

Work with purpose: Contribute to intelligent AI solutions that help industries solve real-world challenges. Your infrastructure enables the AI agents our customers use - you'll own the platform that makes it possible.

Benefits that support you: 25 vacation days, additional company holidays, full salary continuation during maternity, paternity, and military leave, plus modern workspaces, snacks, and evolving extras as we grow.