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1 день назад

Software Engineer, Observability (AI)

255 000 - 405 000$
Формат работы
onsite
Тип работы
fulltime
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, Observability (AI): Building and optimizing observability products for hirify.global with an accent on scalable infrastructure and AI-powered UI. Focus on developing foundational infra and novel internal tools to ensure reliability, performance, and observability of production systems.

Location: Onsite in San Francisco, CA. This role is subject to US employment laws including the San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance, and the California Fair Chance Act.

Salary: $255,000 – $405,000 + Offers 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

  • Own core observability infrastructure, including distributed logging, time series, and trace storage.
  • Build AI-native tools that help engineers detect, understand, and resolve issues autonomously.
  • Contribute to UI experiences like dashboards, notebooking, or interactive debugging.
  • Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next-generation observability product.

Requirements

  • Operated large-scale distributed systems in production, especially logging systems or other time series databases.
  • Thrive in ambiguous environments and roll up your sleeves to solve unscoped problems.
  • Have full-stack chops or product sensibilities and are excited to build real tools people use.
  • Strong fundamentals in systems, networking, and cloud infra (Kubernetes, AWS, etc).

Nice to have

  • Built or contributed to observability systems (e.g. Prometheus, OpenTelemetry, etc).

Culture & Benefits

  • Work on an infra and product team, building a real AI application for internal use.
  • Directly power the reliability of GPT-based products at massive scale.
  • Help define what "AI-powered observability" looks like at one of the world’s most advanced AI labs.
  • Committed to providing reasonable accommodations to applicants with disabilities.

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