AppleWe are looking for an innovative full-stack engineer, to join our App Store
Internal Tools team. We work on app processing and internal tools to enable producers, editors, designers and business analysts to craft the best possible
App Store experience for our customers worldwide. You'll be working with systems that impact more than a billion users, while still retaining a close contact with our day-to-day tool users. We enjoy the luxury of operating quite freely,
with comparatively lower SLAs, while still being able to have a very tangible effect on user facing systems (the App Store app). We take quality very seriously, and can promise a highly skilled and dedicated team. We value the safety and freedom to be wrong, a healthy work/life balance.
DESCRIPTION You will participate in building both frontend and backend systems for our tools. It's crucial to understand the bigger picture, and how the whole distributed app works. This means keeping track of many technical systems, but also getting to know many people.
The work will include planning, presenting and executing on accomplishing various aspects of app and app related data processing. Amongst other things you'll deal with intelligent recommendations,
working at scale, backwards compatibility and schema evolution. You don't shy away from driving a project and possess excellent communication skills. We primarily work in Java and Typescript/React (web), but also have services in
Scala. Does this sound like you? Join us!
MINIMUM QUALIFICATIONS Current and industry experience with backend systems, and at least 5 years with
Java Current and industry experience with React, TypeScript and Javascript
Current and industry experience with relational databases, such as Oracle and
PostgreSQL BS/MS/PhD in Computer Science, Information Systems, Electrical and
Computer Engineering or related PREFERRED QUALIFICATIONS Experience from building and deploying server components and services is beneficial Experience from building message based distributed systems (e.g. with
Kafka, Pulsar or similar) is beneficial Experience with SOLR is beneficial
Experience with Cassandra is beneficial Experience in building applied
AI/Machine Learning applications highly beneficial
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