5 дней назад
Senior Backend Engineer - Search (Node.js/TypeScript)
70 000 - 85 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Backend Engineer - Search (Node.js/TypeScript): Developing a cutting-edge search engine and high-traffic APIs for a fashion e-commerce platform with an accent on scalable backend services, large-scale data processing, and low-latency performance. Focus on investigating search outcomes, integrating BigQuery with data platforms, and shaping architectural decisions for reliable, maintainable systems.
Location: Hamburg or Berlin, Germany
Salary: €70,000–€85,000 per year
Company
European e-commerce platform combining fashion and technology to create personalized and seamless online shopping experiences.
What you will do
- Develop a search engine using Node.js and TypeScript.
- Process extensive data volumes with Google BigQuery and integrate with business intelligence systems and the data platform.
- Build and improve high-traffic APIs with minimal latency.
- Collaborate with developers, product managers, QA specialists, and analysts to improve existing functionality and launch new features.
- Define architectural decisions with the Tech Lead and evaluate new technologies.
Requirements
- 5+ years of backend development experience.
- 2+ years of experience building scalable APIs with Node.js, Python, Go, or similar technologies.
- Recent practical experience with a typed programming language such as TypeScript.
- Strong knowledge of SQL or NoSQL databases.
- Ability to write efficient, maintainable code and actively improve code quality.
- Ability to work in English in an agile environment and be based in Hamburg or Berlin, Germany.
Nice to have
- Experience with Elasticsearch or OpenSearch.
- Experience building data models with dbt and working with MPP data warehouses such as BigQuery or Redshift.
- Experience with Datadog or similar centralized logging, monitoring, and alerting solutions.
- Experience with AWS or GCP and orchestration services such as Dagster or Airflow.
- Experience with distributed data processing, machine learning models, or LLM-based systems.
Culture & Benefits
- Flat hierarchies, direct communication, pragmatic decisions, and clear ownership.
- Agile collaboration with experienced developers, product managers, QA specialists, and analysts.
- Inclusive environment focused on acceptance and diverse perspectives.
- Team lunches, after-work drinks, company events, and other team activities.
Hiring process
- Apply online through the career page.
- The hiring team will follow up after reviewing the application.
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