обновлено 4 дня 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): Develop and scale a high-traffic search engine and APIs using Node.js, TypeScript, BigQuery, and data platform integrations with an accent on low latency, data volume management, and search quality. Focus on investigating search outcomes, designing architectural decisions, and building maintainable backend features with product, QA, and analytics teams.
Location: Hamburg or Berlin, Germany
Salary: €70,000–€85,000 per year
Company
is a fast-growing European e-commerce company combining fashion and technology to create a personal and seamless online shopping experience.
What you will do
- Develop a search engine using Node.js and TypeScript.
- Manage large data volumes with Google BigQuery and integrate search capabilities with business intelligence systems and the data platform.
- Build and improve high-traffic APIs with minimal latency.
- Collaborate with developers, product managers, QA experts, and analysts to enhance existing functionality and launch new features.
- Make 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.
- Experience working in an English-speaking environment, with strong analytical and problem-solving skills.
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 centralized logging, monitoring, and alerting tools such as Datadog.
- Experience with AWS or GCP and orchestration services such as Dagster or Airflow.
- Experience with distributed data processing frameworks, machine learning models, or LLM-based systems.
Culture & Benefits
- Flat hierarchies, direct communication, and pragmatic decision-making.
- Ownership, trust, and clear responsibility with room for innovation and professional growth.
- Collaborative and inclusive environment that values different backgrounds and perspectives.
- Team lunches, afterwork drinks, company events, and other social activities.
Hiring process
- Apply online through the career page.
- The recruiting team will get back to applicants as soon as possible.
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