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Software Engineer, Infrastructure, Consumer Devices (AI)

325 000 - 440 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer, Infrastructure, Consumer Devices (Cloud Infrastructure): Designing and evolving the platforms that power hirify.global’s products with an accent on architecture, scalability, and reliability. Focus on optimizing server orchestration, networking, and distributed systems to handle the next order of magnitude of growth.

Location: San Francisco, USA

Salary: $325,000 – $440,000 + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

  • Design and build scalable, reliable, and secure infrastructure platforms for hirify.global products.
  • Evolve cloud infrastructure abstractions to enable rapid product development across teams.
  • Architect systems to support significant growth, performance, and operational complexity.
  • Improve server orchestration, networking, and distributed systems reliability.
  • Collaborate with product, research, and engineering teams to align infrastructure with evolving needs.
  • Mentor engineers and maintain operational excellence through on-call rotations and incident response.

Requirements

  • 8+ years of experience building and operating large-scale infrastructure systems.
  • Deep expertise in Kubernetes and container orchestration at scale.
  • Strong experience designing cloud abstractions and platform infrastructure (AWS, GCP, Azure).
  • Proven track record of leading complex technical initiatives across teams.
  • Experience operating highly reliable, secure, and scalable distributed systems.
  • Must be based in the US (specifically San Francisco).

Culture & Benefits

  • Culture of high ownership, low ego, and thoughtful collaboration.
  • Direct impact on the reliability and scalability of some of the world's most widely used AI products.
  • Commitment to building AI with safety and human needs at its core.
  • Competitive compensation including a significant equity component.

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