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3 часа назад

Forward Deployed Engineers (AI Infrastructure)

180 000 - 240 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US/Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Forward Deployed Engineers (AI Infrastructure): Architecting and deploying massive-scale production workloads for leading AI companies on Modal's serverless platform with an accent on cloud architecture, networking, storage, containerization, and customer collaboration. Focus on designing migration paths from AWS, GCP, and Azure, solving distributed infrastructure challenges, and building production systems directly with technical leaders.

Location: On-site in New York City, San Francisco, or Stockholm

Salary: $180K–$240K annually, plus equity

Company

hirify.global is building an AI infrastructure platform for production workloads, including a serverless platform for leading AI companies and foundation labs.

What you will do

  • Architect and deploy massive-scale production workloads on hirify.global for leading AI companies.
  • Lead technical discovery and architecture sessions with prospective and existing customers.
  • Design migration paths from AWS, GCP, and Azure to hirify.global's serverless platform.
  • Work across cloud architecture, networking, storage, containerization, and sandboxing.
  • Collaborate with product and sales teams as an engineer and product stakeholder.
  • Conduct technical demos, experiments, and proofs of concept for customer infrastructure use cases.

Requirements

  • 3+ years of professional software engineering experience.
  • Hands-on experience with AWS, GCP, or Azure, including compute, storage, networking, and container orchestration.
  • Experience with Docker and Kubernetes.
  • Familiarity with distributed systems architecture, data pipelines, and Infrastructure as Code using Terraform, Pulumi, or CloudFormation.
  • Strong communication skills and the ability to explain architectural tradeoffs to infrastructure teams and technical leadership.
  • Genuine interest in working directly with customers on complex technical problems.

Nice to have

  • Experience leading large-scale migration efforts.
  • Open-source contributions or notable side projects.

Culture & Benefits

  • Full-time engineering role with in-person collaboration.
  • Work directly with companies and foundation labs developing frontier AI systems.
  • Collaborate with software engineers, computational scientists, ML engineers, founders, and experienced product leaders.
  • Equity is included in the compensation package.

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