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We are looking for a Backend Node.js Engineer (m/f/d) to be part of the development of our Search Engine. Our Search circle is embedded in our circle cluster “Customer & Shop Intelligence”, which is in charge of driving a personalized and inspirational shop experience. Responsibilities include designing and implementing search algorithms, leveraging NLP techniques, and optimizing search results for relevance and efficiency. This role will play a pivotal role in ensuring our Search Engine delivers highly accurate and comprehensive results, enhancing the overall user experience.
Job Responsibility:
Develop a cutting-edge Search Engine utilizing Node.js with TypeScript
Manage extensive data volumes efficiently, employing Google BigQuery and integrating seamlessly with Business Intelligence systems and our data platform
Build and enhance high-traffic APIs, ensuring minimal latencies
Collaborate closely with seasoned developers, product managers, QA experts, and analysts to enhance current functionalities and launch novel features
Encouragement for innovative ideas and creations, a flat organizational structure, and rapid decision-making processes ensure ample room for contribution and growth
Draft architectural decisions together with our Tech Lead and explore new technologies
Requirements:
3+ years working experience
2+ years experience in building scalable APIs (e.g. using Node.js, Python or Go)
Practical & recent experience with a typed programming language (e.g. TypeScript)
Solid know how in working with SQL or No-SQL databases
You write well-structured, efficient and maintainable code and actively keep the quality of the code base in check
You have excellent analytical and problem-solving skills
You are used to working in an English-speaking and agile environment
You raise the bar of the software you work on
You enjoy investigating the ‘why’ behind specific search outcomes and translating those findings into actionable technical enhancements
Nice to have:
Experience with Elasticsearch or OpenSearch
Experience building Data Models using dbt
Experience in working with a MPP data warehouse (e.g. Redshift, BigQuery)
Experience with centralized logging, monitoring, and alerting solutions (Datadog)
Hands-on experience with a cloud ecosystem (e.g. AWS, GCP) and integration with orchestration services (like Dagster or Airflow)
Experience of running data processing pipelines using distributed data processing frameworks
Hands-on Experience with Machine Learning Models or LLM-based systems is a plus