Назад
Company hidden
11 часов назад

Platform Engineer (Azure)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Platform Engineer (Azure/AI): Building and operating cloud infrastructure, automation, and deployment systems for an autonomous-driving AI platform with an accent on Azure, Infrastructure as Code, CI/CD, and platform reliability. Focus on designing scalable development and production environments, automating operational workflows, and solving complex incidents across containerized and distributed systems.

Location: Sunnyvale, California, USA; hybrid working model with in-person collaboration and remote work.

Company

hirify.global is building an AI platform for autonomous driving that enables vehicles to learn from real-world experience and adapt across different environments and vehicle platforms.

What you will do

  • Build, maintain, and improve cloud infrastructure across development, testing, and production environments.
  • Automate infrastructure provisioning using Infrastructure as Code tools such as Terraform and Ansible.
  • Support cloud-based CI/CD pipelines, deployment systems, and containerized workloads.
  • Monitor platform performance, observability, security, and cloud costs.
  • Respond to incidents, perform root-cause analysis, and automate operational processes.
  • Partner with engineering teams to improve developer experience and reduce manual work.

Requirements

  • 2–5 years of experience in DevOps, cloud infrastructure, platform engineering, or a related role.
  • Hands-on experience with Azure, AWS, or GCP.
  • Experience with Infrastructure as Code tools such as Terraform or Ansible.
  • Familiarity with CI/CD systems and cloud-based deployment pipelines.
  • Understanding of networking, cloud architecture, and system reliability fundamentals.
  • Ability to troubleshoot complex systems and collaborate effectively with engineering teams.

Nice to have

  • Experience with build systems, Linux, Git, scripting, distributed execution, caching, and artifact management.
  • Interest in autonomous driving, embodied AI, and real-world machine learning systems.

Culture & Benefits

  • Hybrid work with dedicated offices and focused remote time.
  • Relocation support and visa sponsorship where applicable.
  • Core hours and opportunities to work hands-on in vehicle workshops and labs.
  • Market-benchmarked salaries, meaningful equity, and location-dependent benefits.
  • Learning and development budgets for training, conferences, and professional growth.
  • Health, dental, retirement or pension benefits, enhanced parental leave, therapy access, wellbeing partnerships, and team socials.

Hiring process

  • Initial recruiter call covering motivation, communication, relevant experience, and logistics.
  • Competency interview with the hiring manager.
  • Technical interviews covering programming, system design, build systems, CI/CD infrastructure, automation, Linux, Git, and distributed execution.
  • Final interview with a director focused on mission, values, stakeholder communication, and long-term potential.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →