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trivago · Düsseldorf
When travelers are searching for a hotel, we want the obvious choice to be trivago! Our leading metasearch engine is super fast and constantly optimized - enabling millions of travelers to compare hotel prices from hundreds of booking sites and find great deals in just a few clicks. We use cutting-edge technology, real-time auction, and machine learning techniques with petabytes of data to create an experience - time and money saved! In the lively city of Düsseldorf, we seize opportunities to learn everyday, innovate, and make an enduring mark on the travel industry. At trivago you will find those who aren't afraid of change but rather embrace it, turning every challenge into a pathway for growth. Join trivago, work with a great team, and grow with us! Join us in making a difference As a Site Reliability Engineer in our SRE Data Squad, you'll help keep trivago's data backbone running — 8 production Kafka clusters moving over 900K messages per second, plus our managed Flink, Cassandra, and Redis services. You'll apply a software engineering mindset to operations, building the bridge between the two and turning reliability into a craft. You'll grow into a trusted voice on some of trivago's most demanding data systems, deepening your infrastructure expertise with real ownership, a clear path toward senior SRE work, and the stability to build a lasting career here. trivago is a place where ambition and support go hand in hand — we hold high standards and genuinely invest in each other's growth. Curious how your day-to-day could look? Apply today and help us keep trivago's data flowing. How you’ll make an impact: Join our on-call rotation for trivago's Kafka, Flink, Cassandra, and Redis services — we use a 4-person rotation, so incident duty is shared and recovery time is protected. Run and operate our infrastructure across Google Cloud Platform (GKE and Compute Engine) and our on-premises datacenter (Rancher). Build monitoring and observability for the applications and data services the team supports. Document the actions you take and turn repetitive work into automation — including with AI-assisted tooling where it genuinely helps. Contribute to runbooks, technical documentation, and our engineering blog. Debug issues across services and levels of the stack, and contribute to the team's issues and OKRs. What you'll need to thrive: Hands-on experience operating Kubernetes in production, together with practical Kafka experience — the two technologies this squa