Назад
Company hidden
5 часов назад

Cloud Platform Engineer (AI)

Тип работы
fulltime
Грейд
senior
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
Cloud Platform Engineer (AI): Building and operating a reliable, scalable AI inferencing service across public cloud and on-premises infrastructure with an accent on uptime, latency, observability, and efficient resource utilization. Focus on designing autoscaling, CI/CD, infrastructure-as-code, and incident response systems for complex distributed services supporting inference workloads across multiple regions.

Location: San Jose, California, United States

Company

hirify.global builds integrated AI hardware and software platforms, including DataScale systems, SambaFlow software, and the hirify.global Suite generative AI platform.

What you will do

  • Own the reliability, availability, latency, performance, and efficiency of the production AI inferencing service.
  • Support AI infrastructure deployments across regions including Asia, Europe, and Latin America.
  • Participate in a balanced follow-the-sun on-call rotation and lead incident response, post-mortems, and corrective actions.
  • Build monitoring, alerting, dashboards, and service health measurements using tools such as Prometheus, Grafana, and Datadog.
  • Design autoscaling, capacity planning, and cost-optimization strategies for variable inference workloads.
  • Manage cloud and on-premises infrastructure, CI/CD pipelines, and automation using infrastructure-as-code practices.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 3–5+ years of experience in SRE, DevOps, or a related role supporting large-scale customer-facing services in AWS, GCP, or Azure.
  • Strong programming or scripting skills in Python, Go, or Java.
  • Experience with Docker, Kubernetes, monitoring, observability, and distributed-system troubleshooting.
  • Experience with infrastructure as code, such as Terraform or CloudFormation, and familiarity with CI/CD tools and principles.

Nice to have

  • Experience bridging public cloud and on-premises or data-center infrastructure.
  • Production experience with ML/AI inferencing, GPU-accelerated workloads, or model-serving frameworks such as vLLM, SGLang, or Ray.
  • Knowledge of MLOps, databases, caching systems, and Linux/Unix administration.

Culture & Benefits

  • Work on a high-visibility AI platform with direct product and engineering impact.
  • Greenfield development opportunity with autonomy in technical decision-making.
  • Competitive compensation including equity and benefits.
  • US-based full-time benefits include medical, dental, vision, disability, life insurance, HSA, FSA, wellness, and counseling programs.

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 →