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DevOps Engineer (Embedded)

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 (Embedded): Designing and developing build systems and automation infrastructure for the operating systems powering next-generation Spectacles wearable devices with an accent on CI/CD pipeline optimization and developer tooling. Focus on driving AI-Native workflow integration, supporting global software engineering teams, and ensuring high-quality builds on experimental hardware platforms.

Location: Must work in the Santa Monica office 4+ days per week

Company

hirify.global is a technology company building camera-based products like hirify.globalchat, Lens Studio, and Spectacles to improve how people live, express themselves, and interact with the world.

What you will do

  • Develop and maintain build, integration, and automation systems for a custom operating system.
  • Provide optimized solutions for local development and continuous integration to support engineering teams.
  • Build automation and reporting infrastructure for pre-production and in-production hardware/software testing.
  • Collaborate with global software teams to bring up builds on experimental hardware platforms.
  • Implement AI/LLM tools within CI/CD and development workflows to boost developer velocity.
  • Contribute to product quality by regularly using and improving the systems supporting development.

Requirements

  • Must be able to work on-site in Santa Monica, CA, 4+ days per week
  • BSc or MSc in Computer Science, Engineering, or equivalent experience.
  • 2+ years of experience with Unix/Linux environments.
  • 2+ years of experience in build systems or automation.
  • Strong scripting skills in Python and Shell.
  • Expertise in Git (LFS, hooks, bisect, merge strategies, repo, submodules, Gerrit) and CI/CD tools like Jenkins, Github, or TeamCity.

Nice to have

  • Experience with Google Cloud (Compute Engine, BigQuery) or AWS.
  • Familiarity with Gradle, Bazel, CMake, or GNU Make.
  • Experience with AOSP builds, Yocto, or automated embedded device testing.
  • Proficiency in leveraging AI tools like Copilot, Cursor, or ChatGPT.
  • Knowledge of binary artifact management tools (JFROG Artifactory) and static analysis reporting (SonarQube).

Culture & Benefits

  • Comprehensive medical coverage and emotional/mental health support programs.
  • Paid parental leave and generous time-off policies.
  • Dynamic, collaborative, and in-person work culture centered on the "Default Together" policy.
  • Opportunities for career growth and compensation packages tied to long-term success.
  • Innovative environment focused on cutting-edge wearable technology and R&D.

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