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6 дней назад

Staff Engineer Data (Data Engineering)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
France/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Staff Engineer Data (Data Engineering): Designing and implementing an end-to-end data architecture for real-time detection, qualification, and analysis of exposed secrets with an accent on distributed systems, streaming pipelines, and large-scale search-oriented data processing. Focus on redesigning production architecture for horizontal scalability, expanding coverage across public data sources, and building agentic and real-time systems capable of handling hundreds of millions of secrets.

Location: Hybrid, with 3 days per week at the office in Paris, France

Company

hirify.global is a global cybersecurity scale-up that helps enterprises detect exposed secrets, prioritize remediation, and prevent credential-based breaches across code, systems, and AI.

What you will do

  • Design and implement the end-to-end data architecture for the Public Intelligence team.
  • Build and deploy real-time systems that qualify secrets within minutes of detection.
  • Redesign the multi-service architecture for greater robustness, horizontal scalability, and maintainability.
  • Extend data ingestion beyond GitHub to sources such as Docker Hub, NPM, and PyPI.
  • Design monitoring, maintenance, and alerting systems for the data pipeline.
  • Mentor engineers, contribute production code, and shape the technical roadmap with Engineering and Product.

Requirements

  • 7+ years of experience in data engineering and operating large-scale, production-grade data pipelines.
  • Strong expertise in distributed systems, streaming, event-driven systems, and real-time architectures.
  • Production experience with AWS, Terraform, Docker, and Kubernetes.
  • Strong experience with ClickHouse or a similar large-scale analytical database.
  • Hands-on experience redesigning or refactoring production architectures and contributing directly to critical code.
  • Fluent English is required for working in an international environment.

Nice to have

  • Experience with large-scale search systems such as Elasticsearch or OpenSearch.
  • Familiarity with agentic systems or LLM-based architectures applied to data pipelines.
  • Experience in high-growth startups or scale-ups.

Culture & Benefits

  • Hybrid remote policy with regular office collaboration in Paris.
  • Career development opportunities over the long term.
  • Benefits package including BSPCE, yearly holiday allowance, lunch vouchers, and health insurance for children.
  • Up to €300 for home office equipment and a sponsored Wellpass membership.
  • Monthly team-building budget and a €4,000 referral bonus.

Hiring process

  • Talent Acquisition video call followed by an interview with the CTO and Engineering Manager.
  • Two-hour technical interview covering Python, data architecture, communication, and reasoning.
  • Final executive interview and reference checks with two professional contacts.

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