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2 дня назад

Senior Backend Engineer (Search)

70 000 - 85 000
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Backend Engineer (Search): Developing and optimizing a cutting-edge search engine using Node.js and TypeScript with an accent on high-traffic API performance and efficient data handling. Focus on integrating with BigQuery, managing large-scale data volumes, and collaborating on architectural decisions to enhance search outcomes.

Location: Hamburg, Germany

Compensation: EUR 70,000 - EUR 85,000 yearly

Company

hirify.global is a fast-growing European e-commerce company operating at the intersection of fashion and technology, committed to personalizing the online shopping experience.

What you will do

  • Develop and maintain a high-performance search engine using Node.js and TypeScript.
  • Manage large data volumes using Google BigQuery and integrate with BI systems.
  • Build and optimize high-traffic APIs to ensure minimal latency.
  • Collaborate with product managers, QA experts, and analysts to launch new features.
  • Draft architectural decisions in partnership with the Tech Lead.
  • Explore and implement new technologies to improve search functionality.

Requirements

  • 5+ years of professional backend development experience.
  • 2+ years of experience building scalable APIs using Node.js, Python, or Go.
  • Practical experience with typed programming languages like TypeScript.
  • Solid knowledge of SQL or No-SQL databases.
  • Strong analytical and problem-solving skills.
  • Ability to work effectively in an English-speaking agile environment.

Nice to have

  • Experience with Elasticsearch or OpenSearch.
  • Familiarity with dbt and MPP data warehouses like Redshift or BigQuery.
  • Experience with cloud ecosystems (AWS, GCP) and orchestration tools like Airflow or Dagster.
  • Knowledge of monitoring and logging solutions like Datadog.
  • Hands-on experience with Machine Learning models or LLM-based systems.

Culture & Benefits

  • Flat organizational structure with direct communication and pragmatic decision-making.
  • Emphasis on ownership, trust, and clear responsibility.
  • Collaborative environment with team events, lunches, and after-work activities.
  • Commitment to an inclusive and diverse workplace culture.

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