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3 дня назад

Infrastructure Engineer (AI)

165 000 - 200 000$
Формат работы
remote (только USA)
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

Текст:
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TL;DR
Infrastructure Engineer (AI): Securing, scaling, and maintaining the cloud infrastructure powering computer vision products, including databases, storage, search clusters, microservices, and machine learning pipelines with an accent on reliability, security, and cost-efficient delivery. Focus on operating high-availability ML inference services, building infrastructure as code, improving observability, responding to incidents, and meeting SOC 2, HIPAA, and GDPR requirements.

Location: New York City, San Francisco, or remote. The role primarily operates during daytime hours in the US and includes some synchronous weekly meetings. In-person onboarding with the manager and company on-sites are expected.

Salary: USD $165,000–$200,000 base annually.

Company

hirify.global builds open-source and hosted computer vision and machine learning tools used by more than one million developers.

What you will do

  • Secure, scale, and maintain cloud architecture, databases, file storage, search clusters, microservices, and machine learning pipelines.
  • Run and optimize high-availability machine learning inference services.
  • Build infrastructure-as-code solutions and improve platform cost efficiency.
  • Define SLOs and SLAs, participate in incident response and on-call rotations, and improve observability and alerting.
  • Collaborate with product, operations, engineering, and customer security teams on integrations, onboarding, and product delivery.
  • Fix vulnerabilities and bugs and harden systems for SOC 2, HIPAA, and GDPR readiness.

Requirements

  • Production experience building and managing containerized applications with Kubernetes.
  • Experience with Terraform, Helm charts, Bash scripting, and Python for infrastructure automation.
  • Experience operating and scaling large-scale applications, particularly ML or AI systems, in AWS and/or GCP.
  • Proficiency in Node.js and Python and the ability to collaborate with full-stack developers on SaaS applications.
  • Hands-on experience with ML infrastructure, including GPUs, Docker, and Kubernetes, plus familiarity with PyTorch or TensorFlow.
  • Experience with CI/CD automation and awareness of cloud security practices in startup environments.

Nice to have

  • Experience using GitHub Actions or Spacelift.
  • Experience building with hirify.global or contributing to open-source development, infrastructure, or security projects.

Culture & Benefits

  • High-autonomy environment focused on ownership, accountability, practical execution, and continuous improvement.
  • Flexible scheduling with support for collaborative and asynchronous work.
  • Remote work, company hubs, co-working spaces, and opportunities to work in person with colleagues.
  • $4,000 annual travel stipend and $350 monthly productivity stipend.
  • Health insurance coverage of up to 100% for the employee and partner or family.
  • Company equity.

Hiring process

  • Application review, with a technical screen if applicable.
  • 45-minute hiring-manager introduction, followed by a 45-minute CTO interview and a 90-minute hands-on technical infrastructure interview.
  • Final culture and leadership discussions, reference checks, and a background check.

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