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Team Lead Data Pipeline Engineer (Cybersecurity)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Team Lead Data Pipeline Engineer (Cybersecurity): Leading the Data Pipeline engineering team to build and optimize high-scale streaming and batch processing systems with an accent on API security and threat detection. Focus on designing complex distributed systems, managing high data volumes, and improving visibility into security postures.

Location: Tel Aviv, Israel

Company

hirify.global develops an AI-powered API and agentic security platform that discovers agents, MCP connections, and APIs, detects attacks, and helps eliminate vulnerabilities.

What you will do

  • Lead the Data Pipeline engineering team and support a group of experienced software engineers.
  • Design, develop, and debug streaming and batch data pipelines for high-scale environments.
  • Build and improve distributed, data-oriented applications handling high rates and volumes.
  • Analyze traffic patterns to identify attackers and attack vectors.
  • Improve customer visibility into API and security posture.

Requirements

  • 5+ years of software engineering experience, including 3+ years with Scala, Java, or Go.
  • 2+ years of experience leading an engineering team of 3 or more engineers.
  • Experience developing data pipelines for streaming and batch processing.
  • Bachelor’s degree in Computer Science or equivalent experience.
  • Experience designing, developing, and debugging complex distributed systems, including microservices and event-driven architectures.
  • Experience building large-scale, data-oriented applications and writing clean, extensible, robust code.

Nice to have

  • Hands-on experience with Kafka, Kafka Streams, Kafka Connect, or similar technologies.
  • Experience with NoSQL columnar databases.
  • Experience building microservices in AWS.

Culture & Benefits

  • Startup environment with fast feedback and opportunities to make a significant impact.
  • Collaborative culture that welcomes ideas from all team members.
  • Work on API, agentic security, big data, and AI-related engineering challenges.

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