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2 дня назад

Senior Software Engineer - Data & AI Platform (m/w/d)

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 Software Engineer - Data & AI Platform (m/w/d) (Go/TypeScript, ClickHouse, RAG): Building analytical query engines, AI-powered reporting workflows, and low-latency APIs for a high-volume event ticketing platform with an accent on distributed systems, data warehousing, and production AI. Focus on designing deterministic natural-language-to-SQL pipelines, connecting MongoDB with ClickHouse, and maintaining reliable reporting services at billion-request scale.

Location: Düsseldorf, Germany; onsite. Monthly in-person architecture sessions take place in Frankfurt.

Company

hirify.global develops an API-first event ticketing platform for global live entertainment organizers, handling more than 1 billion requests per month and serving over 10 million end users.

What you will do

  • Build analytical query engines connecting MongoDB transactional backends with ClickHouse or related analytical event stores for sub-second aggregations.
  • Develop and deploy RAG pipelines, semantic parsers, and agentic query supervisors that convert natural-language prompts into deterministic SQL and aggregation queries.
  • Write high-performance Go or TypeScript/Node.js services for real-time reporting dashboards without degrading transactional processing.
  • Design clean data schemas, strict audit trails, and automated evaluation suites to detect hallucinated data and metric drift.
  • Collaborate with platform and security teams on data flows, sprint scoping, and architecture milestones during monthly in-person sessions in Frankfurt.

Requirements

  • 5+ years of hands-on experience building high-throughput, distributed production services with Go, Python, or TypeScript/Node.js.
  • Production experience with ClickHouse or closely related low-latency analytical engines such as DuckDB, Snowflake, or Apache Pinot.
  • Practical experience with MongoDB and PostgreSQL.
  • Production experience deploying RAG systems, function calling, evaluation frameworks, and supervisor architectures such as LangGraph, LlamaIndex, or custom orchestration layers.
  • Strong understanding of distributed message streaming with Kafka, RabbitMQ, or cloud pub/sub mechanisms.
  • High autonomy and a pragmatic, scrappy approach focused on reliable deterministic validation layers and proven databases.

Culture & Benefits

  • Work on mission-critical live entertainment technology for global brands and millions of end users.
  • Join a profitable, VC-backed scale-up with continued investment in people, products, and long-term growth.
  • Collaborate with more than 160 professionals across six global offices.
  • Work in a diverse, merit-driven environment where impact matters more than hierarchy or background.
  • Participate in a fast-growing organization focused on learning, shared wins, and collective growth.

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