THE ROLE & THE TEAM

Lounge by Zalando is a rapidly growing part of Zalando, now turning over billions of euros each year. That said, there is so much untapped potential with respect to personalization and recommendation.
You will be a Backend Engineer, working alongside data engineers and data scientists to build and evolve large-scale recommender systems. As the largest online fashion retailer in Europe, we require a skilled engineer who can contribute to the design, building, and maintaining high-performance, low-latency backend systems for our Machine Learning infrastructure at a global scale. You will contribute to areas related to the online inference and serving of our real-time personalization algorithms.
This is a very good opportunity to build critical backend services that have a measurable impact on the business and the user experience. You will have significant input into architectural decisions, and the opportunity to direct them, helping to implement state-of-the-art ML recommender serving solutions. There are very few roles that offer this unique synthesis of backend system scale, performance, and ML complexity.
Our team thrives on a multidisciplinary approach, and while this role is primarily focused on backend development, we highly value individuals who are adaptable and willing to contribute to other areas as needed, fostering a truly collaborative environment.

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• Design & develop low-latency, high-load, real-time recommender systems end-to-end.
• Contribute to the evolution of our backend services, enabling faster integration and support for diverse machine learning algorithms.
• Champion engineering best practices, clean code, and maintainable architectures to ensure high-quality and robust systems.
• Participate in code reviews, technical discussions, and knowledge sharing sessions within the team to foster a culture of continuous improvement.
• Collaborate with brilliant Product Managers, Data Scientists, Engineers, and Analysts across Zalando to create positive customer impact together.
• Help to define our team’s objectives. Continuously improve the self-organization of the team.