is Germany's best-known AI company. We develop neural networks to help people work with language. With DeepL Translator, we have created the world's best machine translation system and made it available free of charge to everyone online. Over the next few years, we aim to make DeepL the world's leading language technology company.
Our goal is to overcome language barriers and bring cultures closer together.
What distinguishes us from other companies?
DeepL (formerly Linguee) was founded by developers and researchers. We focus on the development of new, exciting products, which is why we spend a lot of time actively researching the latest topics. We understand the challenges of developing new products and try to meet them with an agile and dynamic way of working. Our work culture is very open because we want our employees to feel comfortable. In our daily work we use modern technologies - not only to translate texts, but also to create the world's best dictionaries, and solve other language problems.
When we tell people about DeepL as an employer, reactions are overwhelmingly positive. Maybe it's because they have enjoyed our services, or maybe they just want to get on board with our quest to break down language barriers and facilitate communication.
Your choice We are constantly looking for outstanding employees! Currently we offer remote work in Germany, the Netherlands, the UK and Poland. Whether you would like to work from home in one of these countries or from one of our offices in Cologne or Paderborn: the choice is yours. No matter where you choose to work from, our way of working is designed to make you an essential part of the team.
What will you be doing at DeepL?
We are looking for an Data Platform DevOps Engineer to join a team of versatile engineers that craft libraries, tooling and the infrastructure supporting data processing at DeepL. The Data Platform combines different data sources, both internal and external and makes them available to our stakeholders company-wide: Developers, Product Development, Data Science and Management. You will work in a cross-functional team with Product Managers, Data Scientists, Data Engineers, and Developers to solve complex technical challenges.>>>
Administer Kafka clusters that play a central role in the company's data delivery
Administer ClickHouse, which is our company-wide data warehouse
What we offer
Data at scale from products used by more than 1 billion people worldwide
Our own data, analytics, machine learning and experimentation platform - far beyond the limitations of standard web analytics platforms
A friendly, international, and highly committed team with a lot of trust and very short decision making processes
Ideally experience with Kafka (or other event brokers) and/or Kubernetes
Ideally experience with ClickHouse or other data warehouse solutions