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1 день назад

Sr. Manager, Cloud Engineering (AI)

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

Sr. Manager, Cloud Engineering (AI): Leading the team building next-generation technologies to power hirify.global, focusing on scaling systems and using AI to stop breaches. Focus on leading code reviews, driving architecture discussions, and owning operational readiness while expanding and developing the engineering team.

Location: Hybrid role based out of our offices in Redmond, WA, Sunnyvale, CA, Austin, TX, or NYC with an expectation of being in the office at least 2 days per week.

Salary: $160,000 - $250,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package.

Company

hirify.global is a global leader in cybersecurity, protecting the people, processes, and technologies that drive modern organizations.

What you will do

  • Shape, grow, and scale an early-stage team.
  • Lead code reviews, architecture discussions, and operational readiness reviews.
  • Define and drive the technical direction for significant components of our next-generation cloud architecture.
  • Partner closely with desktop agent and AI teams.
  • Own and deliver large-scale, cross-functional engineering projects.
  • Hire, develop, and retain exceptional engineers and foster a strong engineering culture.

Requirements

  • B.S. degree in Computer Science or related field.
  • 5+ years of experience managing engineers, with a track record of building and developing high-performing teams.
  • Hands-on experience building and operating high-volume, highly resilient Tier-1 cloud services and systems.
  • Strong knowledge of Go, Java, or similar technologies.
  • Demonstrated ability to own and deliver large, complex engineering projects across multiple teams and stakeholders.
  • Ability to communicate complex technical ideas in writing and verbally.

Nice to have

  • Experience managing machine learning (ML) or data engineering teams.
  • Experience scaling and developing an early-stage engineering team, building on an existing foundation rather than starting from zero.

Culture & Benefits

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

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