Senior Backend Engineer C# | Abuse Protection

at  DeepL

DeepL, Europe’s leading AI company since 2009, is dedicated to breaking down language barriers and bringing cultures closer together. Our expertise in AI and neural networks has enabled us to create cutting-edge communication technologies for businesses, including the acclaimed DeepL Translator which offers 30+ languages, and DeepL Write, our AI writing companion. Our core offering includes a suite of products and tools made for businesses to communicate more effectively, both internally and with their customers around the globe.
Our goal is to become the global leader in Language AI and build products that help drive better communication, drive connection, and make real-life impact. To do that, we need talented people, like you, who want to be a part of this exciting journey. If you’re ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination.

IDEALLY, YOU HAVE ONE OR MORE OF THE FOLLOWING QUALIFICATIONS:

• Experience in the abuse protection or fraud prevention area, e.g. building sophisticated rate limiting infrastructure or detecting fraudulent subscription checkouts
• Experience in developing and operating large-scale, high-reliability architectures
• Experience in cross-team project management
• High-level understanding of frontend services, even better if you directly worked on them yourself alongside your backend focus
• Experience with Kafka
• Experience in statistical data analysis
• Experience with ETL data pipelines
  If this role and our mission resonate with you, but you’re hesitant because you don’t check all the boxes, don’t let that hold you back. At DeepL, it’s all about the value you bring and the growth we can foster together. Go ahead, apply—let’s discover your potential together. We can’t wait to meet you!
  Please make sure to send your application in English.

• Design, implement, and maintain a scalable, high-throughput back-end traffic and usage monitoring and analysis system
• Contribute to ensuring the high availability and reliability of DeepL’s service even in the event of attacks
• Integrate automatic blocking of malicious clients into all backend services
• Incorporate advanced bot detection and fraud prevention technologies