10 дней назад
Lead Backend Engineer (Personalization)
85 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Backend Engineer (Personalization) (Search/Recommendations/Sorting): Building scalable, low-latency backend systems that combine machine learning models, search and ranking algorithms, behavioral signals, and business logic with an accent on technical ownership and personalization. Focus on shaping distributed system architecture, serving ML-driven features in production, and improving reliability and performance across team boundaries.
Location: Hamburg or Berlin, Germany
Salary: From €85,000 yearly
Company
is a European e-commerce company combining fashion and technology to create personalized online shopping experiences.
What you will do
- Take technical ownership of complex backend systems across Search, Recommendations, or Sorting from concept through production.
- Design and evolve high-throughput, low-latency services and the technical foundations of the Personalization area.
- Build and operate systems combining ML models, search and ranking algorithms, behavioral signals, and business logic.
- Make architectural decisions across team boundaries and establish standards for scalability, reliability, and maintainability.
- Collaborate with Data Scientists, Data Engineers, Analysts, and Product Managers to turn experimentation into product improvements.
- Mentor engineers, share expertise, and raise engineering standards across teams.
Requirements
- 7+ years of experience building scalable backend systems and APIs with a strong record of technical ownership.
- Recent experience with a typed programming language, ideally Node.js and TypeScript, or strong experience with Java, Go, or Kotlin.
- Deep understanding of backend architecture, distributed systems, APIs, data stores, and performance optimization.
- Strong algorithmic and analytical thinking with an interest in search, recommendations, ranking, or personalization.
- Experience combining backend engineering and ML, such as serving model scores, embeddings, or ML-driven features in production.
- Strong English communication skills are required.
Nice to have
- Technical background in Search, Recommender Systems, Ranking, or Personalization.
- Experience with Elasticsearch or OpenSearch, Redis or Valkey, high-throughput APIs, or performance-critical backend systems.
- Familiarity with ML-powered systems, LLMs, embeddings, vector search, or Learning-to-Rank.
- Experience with large-scale systems, AWS or GCP, BigQuery, dbt, or Dagster.
- Background in e-commerce, search, recommendations, advertising, or related relevance-focused domains.
Culture & Benefits
- Flat hierarchies, direct communication, pragmatic decisions, and clear ownership.
- Inclusive environment focused on acceptance, inclusion, and diverse perspectives.
- Team lunches, afterwork activities, company events, and informal opportunities to connect.
- Additional benefits are provided through the company benefits program.
Hiring process
- Apply online through the career page.
- The hiring team will follow up after reviewing the application.
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