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Whether it’s a sandwich, a burrito, or groceries, the Uber Eats team builds technology to connect people with what they want, when and where they want it. Uber Eats is home to a team of engineers tasked with creating an app to fuel our three-sided marketplace of eaters, delivery-partners, and restaurants. This Denmark Eats Engineering team is responsible for building product catalog and inventory system that powers the Uber Eats experience and related verticals, such as groceries. This is one of the foundational components of the Eats architecture, as it interfaces with merchants, powers our local graph, and serves recommendation to our customers. The system is designed to be highly-available and highly-scalable to support our global operation.
Job Responsibility:
Design reliable solutions to solve business use cases in a highly distributed system
Implement solutions in Go with a strong focus on clean, readable code with unit and integration test coverage - and run it in production
Actively drive collaboration across multiple teams to create alignment and progress
Take active part in code change peer-reviews to ensure quality and knowledge sharing across the team
Contribute to engineering culture in terms of quality, monitoring and on-call practices
Own part of the team’s charter and through that help setting longer term direction for the team
Requirements:
5+ years of professional software development experience
Relevant degree (B.Sc, M.Sc, Ph.D) in Computer Science or related technical field or equivalent practical experience
Experience coding with C++, Java, Python, or Go
Enjoy building high quality software that is relied upon by millions of people around the world
Comfortable working with ambiguity in constantly evolving environment
Experience working in large scale distributed systems
Nice to have:
Experience in building performant distributed systems with focus on correctness and consistency
Experience with distributed databases
Experience with large-scale eCommerce or Content-Management Systems Batch and/or Streaming computation platforms