10 дней назад
Senior Backend Engineer - Ranking Systems
70 000 - 85 000€
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Описание вакансии
Текст:
TL;DR
Senior Backend Engineer - Ranking Systems (Node.js/TypeScript and ML): Building and owning a high-throughput product ranking engine and low-latency serving APIs for a large e-commerce platform with an accent on deterministic sorting, business logic, and model-score serving. Focus on designing batch pipelines from BigQuery to relational databases, optimizing SQL and latency, and solving deduplication and ranking-constraint challenges.
Location: Hamburg or Berlin, Germany
Salary: €70,000–€85,000 yearly
Company
is a European e-commerce company combining fashion and technology to create personalized online shopping experiences.
What you will do
- Build and own the high-throughput ranking engine “Spotsetter” for fast, deterministic, and fair product sorting.
- Combine machine-learning model outputs with business logic, including campaign boosts and sponsored products.
- Design batch write pipelines streaming data from BigQuery into PostgreSQL and MySQL.
- Develop low-latency serving APIs with Fastify and Node.js/TypeScript.
- Collaborate with data engineers, product managers, and commercial teams on data-driven ranking decisions.
- Contribute to architecture, code quality, and technical direction with the Tech Lead.
Requirements
- 5+ years of experience building backend systems.
- Strong hands-on SQL skills, including PostgreSQL/MySQL schema design, query optimization, and batch operations beyond basic ORMs.
- Experience with Node.js and TypeScript, or strong backend experience with Java, Go, or Kotlin.
- Good algorithmic understanding of sorted data, deduplication, latency trade-offs, and constraint logic.
- Interest in bridging backend engineering and machine learning by serving model scores or ranking data in live systems.
- Clear communication skills in English.
Nice to have
- Experience with BullMQ, Redis, job queues, or batch-processing pipelines.
- Exposure to AWS Step Functions, CDK, GCP, or BigQuery.
- Background in e-commerce, sponsored products, or ad-tech systems.
- Curiosity about learning-to-rank algorithms.
Culture & Benefits
- Flat hierarchies, direct communication, and pragmatic decision-making.
- Ownership, trust, and clear responsibility with architectural freedom.
- Inclusive environment focused on acceptance and diverse perspectives.
- Team lunches, afterwork drinks, company events, and informal social interaction.
- Additional benefits are provided through the company benefits program.
Hiring process
- Apply online through the career page.
- The recruiting team will follow up after application review.
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