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3 дня назад

Senior Backend Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Backend Engineer (AI): Building and scaling APIs, backend services, and data pipelines for Cerebras Inference Cloud with an accent on usage tracking, billing, quotas, account management, and reliable data processing. Focus on designing distributed systems, balancing correctness, latency, scale, and cost, and operating production services through observability, debugging, and recovery.

Location: Hybrid in Sunnyvale, California, United States, or Toronto, Canada

Company

hirify.global builds AI hardware and an AI platform focused on high-speed model training and inference, serving model labs, enterprises, and AI-native startups.

What you will do

  • Own backend capabilities including billing, usage metering, quotas, account management, request logs, and metrics.
  • Design and implement APIs, backend services, and data pipelines for the Developer Console and Inference Cloud.
  • Define service boundaries, data models, and processing patterns while balancing consistency, real-time and batch processing, performance, and cost.
  • Build reliable integrations across customer workflows, internal services, and infrastructure with robust failure and retry handling.
  • Drive projects from ambiguous requirements through architecture, delivery, and production operation.
  • Improve observability, debugging, testing, recovery, and production issue resolution while mentoring engineers and coordinating across frontend, infrastructure, inference, and product teams.

Requirements

  • Experience designing APIs, services, data models, and distributed systems, including concurrency, consistency, caching, and failure handling.
  • Experience designing, delivering, and operating complex production systems.
  • Experience working across backend domains, learning unfamiliar systems, and selecting appropriate technical approaches.
  • Experience designing database schemas, evaluating query performance, and building transactional and asynchronous workflows.
  • Ability to make sound technical tradeoffs and maintain correctness, maintainability, observability, and long-term system health.
  • Ability to work independently on ambiguous problems, manage dependencies, communicate architectural tradeoffs, and mentor engineers.
  • Typically 8+ years of industry experience building and operating production software.
  • Bachelor’s or master’s degree in computer science, or equivalent practical experience.

Nice to have

  • Experience with cloud platforms, developer tools, billing and metering systems, identity and access management, observability, or high-volume data processing.
  • Experience with GraphQL, Postgres, and Redis.

Culture & Benefits

  • Opportunity to build an AI platform beyond the constraints of GPUs.
  • Access to cutting-edge AI research, publishing, and open-source work.
  • Work with one of the fastest AI supercomputers.
  • Job stability combined with startup vitality.
  • Simple, non-corporate culture that respects individual beliefs and supports continuous learning, growth, and inclusion.

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