Live opening · Posted 5 days ago

Senior Software Engineer

Uber · Aarhus C, Midtjylland, Denmark
Oracle
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanyUber
LocationAarhus C, Midtjylland, Denmark
SourceOracle
Listed5 days ago

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About the role

Description supplied by the original job listing.

Senior Software Engineer – Catalog & Inventory Platform
Aarhus, Denmark • Backend • Distributed Systems • Go
Uber Eats is evolving. We’re moving beyond food to become a platform for delivering what people need, whether that’s groceries, pharmacy items, or retail goods. At the heart of this shift is INCA (Inventory & Catalog): the system that takes in massive inventories from merchants, enriches and normalizes that data, and serves it reliably across Uber’s global systems.
We’re looking for Senior Software Engineers in Aarhus who want to help shape this platform and take ownership of critical parts of how we store, update, and publish catalog and inventory information around the world for Uber Eats.
To understand the platform you’ll work on and the challenges we’re solving, start here:
Scaling Uber Eats for Retail & Grocery
https://www.uber.com/en-DK/blog/scaling-uber-eats-for-everything/
What You Will Do
At the Catalog & Inventory team, your work will directly shape how Uber’s delivery platform scales, adapts, and expands into new categories. The services you build will help:
Serve everyone’s shopping needs, from small convenience stores to large supermarkets, with consistent, accurate catalog and inventory data.
Make it easier for new merchants and business verticals to connect their inventory with our systems.
Keep inventory and catalog data accurate and fresh in real time, even under heavy load.
Support the reliability and extensibility of Uber’s delivery platform as we grow into new categories.
You will:
Design and build backend services in Go that power catalog and inventory data throughout Uber’s marketplace.
Build and maintain systems that handle real-time updates and high-volume ingestion workloads, think billions of updates per day.

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