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6 часов назад

DevOps Engineer (AI)

183 000 - 248 000$
Формат работы
onsite
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
DevOps Engineer (AI): Improving the reliability and operational health of the production systems powering Flux’s AI hardware engineering platform with an accent on observability, SLOs/SLIs, and resilient cloud infrastructure. Focus on managing Pulumi infrastructure across GCP, AWS, and Firebase, building internal tooling, and solving complex production incidents across distributed services.

Location: San Francisco office; on-site

Salary: $183K–$248K annually plus equity

Company

hirify.global is building an AI hardware engineering platform that turns natural-language prompts into manufacturable circuit boards.

What you will do

  • Improve the reliability, availability, and operational health of production systems supporting billing, authentication, onboarding, and integrations.
  • Define observability standards for metrics, logs, and errors across services.
  • Set SLOs and SLIs, design alerting strategies, and improve on-call readiness and signal quality.
  • Partner with engineers to design resilient systems and reduce operational risk.
  • Build internal tooling for safer systems, faster debugging, and improved developer velocity.
  • Manage infrastructure with Pulumi across GCP, AWS, and Firebase.

Requirements

  • 5+ years of experience in SRE, DevOps, or production operations.
  • Experience operating and scaling production systems against uptime and latency goals.
  • Hands-on experience with observability tools such as Datadog and Sentry.
  • Experience defining SLOs/SLIs, building alerting strategies, and responding to incidents.
  • Proficiency with CI/CD, infrastructure as code, and cloud-native or serverless platforms including GCP and AWS.
  • Strong cross-system debugging skills.

Nice to have

  • Experience with distributed cloud tracing across Datadog, Sentry, and GCP tracing.
  • Familiarity with Cloud Run, Firebase, Lambda, and other containerized or serverless workloads.
  • Experience with TypeScript, Node, and React, or willingness to learn them.
  • Experience supporting AI-powered systems, high-variance workloads, or startups during rapid growth.

Culture & Benefits

  • Impact-oriented environment focused on delivering real value to users.
  • Collaborative culture that encourages early discussion, debate, and creative problem-solving.
  • AI-first approach with ongoing experimentation in tools, techniques, and processes.
  • Ownership-oriented environment that values initiative and bias toward action.
  • Equity is included in the compensation package.

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