Назад
21 час назад

Sr. Manager, Engineering - Data Analytics Infrastructure (Cybersecurity)

160 000 - 250 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Sr. Manager, Engineering - Data Analytics Infrastructure (Data Infrastructure): Leading multiple teams to build and scale high-throughput data plane infrastructure for a global cybersecurity platform with an accent on MLOps and large-scale distributed systems. Focus on optimizing Spark and Flink clusters processing 3 trillion events per day and managing data recovery initiatives.

Location: Hybrid (Austin, TX) — requires 2 days per week in office

Salary: $160,000 – $250,000 per year

Company

Global leader in cybersecurity protecting organizations through an advanced AI-native platform designed to stop breaches.

What you will do

  • Lead multiple engineering teams in the design, scaling, and maintenance of data infrastructure services at 100s of PBs scale.
  • Own the setup, deployment, and management of data plane products used to ingest, process, and enrich event stream data.
  • Mentor, train, and hire top-tier data platform engineering talent to grow the organization.
  • Collaborate cross-functionally with product and senior leadership to deliver innovative, scalable products.
  • Manage distributed teams and hold meetings across US and EU time zones.

Requirements

  • Must be based in or able to work from Austin, TX (Hybrid).
  • MS in Computer Science or a related field.
  • 10+ years of software engineering experience in building or managing large-scale data platforms.
  • 5+ years of hands-on management experience leading distributed engineering teams.
  • Expertise in performance-tuning Spark, Flink, Iceberg, or Pinot, and proficiency in JVM languages (Java, Scala, Kotlin).
  • Production experience building real-time data systems at ultra-high scale (minimum 100s of TB/day).
  • Knowledge of Terraform, configuration tools (Chef/Puppet/Ansible), and SQL/NoSQL databases.

Nice to have

  • Experience developing compute and storage layers for high-scale data platforms.
  • Experience with hybrid cloud environments (combining cloud and data centers).
  • Exposure to container orchestration technologies like Kubernetes.

Culture & Benefits

  • Market-leading compensation and equity awards.
  • Comprehensive physical and mental wellness programs.
  • Competitive vacation, holidays, and paid parental/adoption leaves.
  • Professional development opportunities for all employees.
  • Vibrant office culture with world-class amenities.

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