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4 часа назад

Senior Engineer II, Data Products (Data Infrastructure)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
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 Engineer II, Data Products (Data Infrastructure): Building and operating real-time data processing systems and quality pipelines with an accent on Flink-based streaming and data observability. Focus on ensuring data integrity, designing scalable schema infrastructure, and optimizing pipelines handling 350k events per second.

Location: Hybrid (Tel Aviv, Israel). Must work from the office at least three days per week

Company

AI-powered fraud prevention platform delivering identity intelligence for global commerce brands.

What you will do

  • Design, build, and operate production-scale Flink-based streaming pipelines at the core of internal workflows.
  • Own data quality and observability infrastructure, including schema contracts and freshness monitoring.
  • Develop knowledge base tooling to make institutional context queryable for agents and engineers.
  • Architect systems for reliable failure recovery to ensure the data platform is trustworthy by default.

Requirements

  • 7+ years of production backend or data infrastructure experience.
  • Deep expertise with stream processing systems such as Flink or Kafka at production scale.
  • Strong distributed systems instincts with a priority on correctness and reliability.
  • Proven experience building or owning data quality and observability infrastructure.
  • Internal product mindset to effectively serve internal teams as customers.

Nice to have

  • Experience with data contracts, schema registries, or data governance tooling.
  • Proficiency in JVM languages (Scala, Java, Kotlin) and big data databases like Aerospike or Elasticsearch.
  • Contributions to agentic or LLM-adjacent infrastructure.
  • Experience acting as a technical anchor in small, high-scope teams.

Culture & Benefits

  • Hybrid work model blending in-person connection with remote flexibility.
  • 4.5 day work weeks featuring Appreciation Fridays and Sundays.
  • Equity through RSU offerings.
  • L&D programs specifically built around AI tools.
  • Global cross-functional environment with high ownership and proximity to decisions.

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