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9 часов назад

Software Engineer, Platform

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
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
Software Engineer, Platform (AI/platform services): Building and optimizing Factory's core platform services and internal systems with an accent on search and indexing, infrastructure, integrations, authentication, billing, and developer experience. Focus on integrating AI-driven components with foundational systems, improving large-scale code understanding, and ensuring reliable, secure, high-performance architecture.

Location: In-office 5 days per week in San Francisco, California, within walking distance of Caltrain

Company

hirify.global develops AI-driven software and the platform systems that support it.

What you will do

  • Design, develop, and optimize the core platform, services, and internal systems.
  • Build and improve search and indexing systems, infrastructure, integrations, authentication, billing, and organization management.
  • Create internal tooling that improves usability, engineering efficiency, and onboarding.
  • Collaborate with AI researchers and engineers to integrate AI-driven components with foundational platform systems.
  • Promote best practices in code quality, security, and architecture.

Requirements

  • Degree in Computer Science, Engineering, or a related field, plus 3+ years of full-stack engineering experience.
  • Experience building complex, high-performance, and reliable systems.
  • Proficiency in one or more of Python, Java, or C++.
  • Familiarity with Git, CI/CD pipelines, and standard software engineering practices.
  • Knowledge of systems programming and experience working with large codebases and code at scale.
  • Ability to work in the San Francisco office five days per week.

Nice to have

  • Experience developing software analysis tools, compilers, runtime systems, or similar technologies.

Culture & Benefits

  • Emphasis on technical excellence, innovation, code quality, security, and sound architecture.
  • Close collaboration with AI research and engineering functions.

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