Mid-Level
Backend Engineer - Search Engine (all genders)
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Develop a cutting-edge Search Engine utilizing Node.js with TypeScript
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Manage extensive data volumes efficiently, employing Google BigQuery and integrating seamlessly with Business Intelligence systems and our data platform
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Build and enhance high-traffic APIs, ensuring minimal latencies
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Collaborate closely with seasoned developers, product managers, QA experts, and analysts to enhance current functionalities and launch novel features
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Encouragement for innovative ideas and creations, a flat organizational structure, and rapid decision-making processes ensure ample room for contribution and growth
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Draft architectural decisions together with our Tech Lead and explore new technologies
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3+ years working experience in Backend
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2+ years experience in building scalable APIs (e.g. using Node.js, Python or Go)
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Practical & recent experience with a typed programming language (e.g. TypeScript)
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Solid know how in working with SQL or No-SQL databases
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You write well-structured, efficient and maintainable code and actively keep the quality of the code base in check
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You have excellent analytical and problem-solving skills
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You are used to working in an English-speaking and agile environment
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You raise the bar of the software you work on
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You enjoy investigating the 'why' behind specific search outcomes and translating those findings into actionable technical enhancements
Nice to have
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Experience with Elasticsearch or OpenSearch
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Experience building Data Models using dbt
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Experience in working with a MPP data warehouse (e.g. Redshift, BigQuery)
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Experience with centralized logging, monitoring, and alerting solutions (Datadog)
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Hands-on experience with a cloud ecosystem (e.g. AWS, GCP) and integration with orchestration services (like Dagster or Airflow)
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Experience of running data processing pipelines using distributed data processing frameworks
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Hands-on Experience with Machine Learning Models or LLM-based systems is a plus
70000 - 85000 EUR
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