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19 часов назад

Backend Engineer - Search (Node.js)

60 000 - 70 000
Тип работы
fulltime
Грейд
middle
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
Backend Engineer - Search (Node.js/TypeScript): Developing a cutting-edge search engine, high-traffic APIs, and data integrations with an accent on scalable backend services, low-latency performance, and large-volume data processing. Focus on investigating search outcomes, translating findings into technical improvements, and making architectural decisions with the Tech Lead.

Location: Hamburg, Germany

Salary: €60,000–€70,000 per year

Company

hirify.global is a fashion company focused on creating an inclusive and fairer approach to fashion.

What you will do

  • Develop a search engine using Node.js and TypeScript.
  • Process extensive data volumes with Google BigQuery and integrate search capabilities with BI systems and the data platform.
  • Build and improve high-traffic APIs with minimal latency.
  • Collaborate with developers, product managers, QA experts, and analysts to improve existing functionality and launch new features.
  • Define architectural decisions with the Tech Lead and evaluate new technologies.

Requirements

  • 3+ years of backend development experience.
  • 2+ years of experience building scalable APIs with Node.js, Python, or Go.
  • Recent practical experience with a typed programming language such as TypeScript.
  • Strong knowledge of SQL or NoSQL databases and experience writing efficient, maintainable code.
  • Excellent analytical and problem-solving skills, including the ability to investigate the reasons behind search outcomes.
  • Experience working in an English-speaking and agile environment.

Nice to have

  • Experience with Elasticsearch or OpenSearch.
  • Experience building data models with dbt or working with MPP data warehouses such as BigQuery or Redshift.
  • Experience with Datadog, AWS or GCP, and orchestration tools such as Dagster or Airflow.
  • Experience with distributed data processing frameworks, machine learning models, or LLM-based systems.

Culture & Benefits

  • Flat organizational structure and rapid decision-making.
  • Room for innovative ideas, contributions, and professional growth.
  • Inclusive environment that values acceptance and diverse perspectives.
  • Additional perks are available through the company benefits program.

Hiring process

  • Apply online through the career page.

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