How we work
- Agile working environment
- Choose your weapons: freedom to choose your hardware and tools
- State-of-the-art tech stack with usual suspects like Go, Docker, AWS, Google Cloud, Kubernetes, Travis-CI, MongoDB, Redis, Elasticsearch, & Github
- Short & efficient meeting culture
- Providing a awesome shopping experience for 1M+ users
- Super nice office at WeWork Potsdamer Platz
What you will be working on
- Microservice data backend with services written in Go, Python and Java
- Development and design of data services and its infrastructure
- Fine-tuning and improving performance of services and datastores
- Implementing security strategies for apps and backend services
- Providing an integrated monitoring with strong focus on performance and business KPI
How you should be
- A developer with all you heart
- You have significant experience with building machine learning and recommendation systems
- You ruin a party by explaining the differences between supervised and unsupervised learning
- Experienced at least with two of the following: Python, Go, Java, Scala, NodeJS, R, Rust
- A pragmatic perfectionist
- Enthusiastic about collaborating in an inter-disciplinary environment
What’s a plus
- Experience with Amazon Web Services, Docker, Kafka, Hadoop
- Contributing to the Open Source community or having your own project
All Fashion. One App.