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9 дней назад

Staff Infrastructure Engineer (AI)

210 000 - 240 000$
Формат работы
hybrid
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
Staff Infrastructure Engineer (AI): Building and scaling cloud infrastructure, Kubernetes platforms, and deployment systems for AI and generative AI workloads with an accent on reliability, security, observability, and performance. Focus on optimizing GPU-intensive workloads, implementing infrastructure as code, hardening cloud-native environments, and improving platform resilience at scale.

Location: Hybrid in Palo Alto, California; collaborate in the office 3 days a week.

Salary: $210,000–$240,000 base salary plus equity; actual compensation varies by level, experience, and skills.

Company

hirify.global builds AI-powered marketing orchestration technology that helps major brands create personalized campaigns faster.

What you will do

  • Design, deploy, and manage production-grade cloud infrastructure on AWS, GCP, or Azure for AI and generative AI workloads.
  • Build and maintain Kubernetes clusters and container orchestration pipelines for highly available services.
  • Develop infrastructure as code with Terraform, Pulumi, or similar tools to create reproducible and auditable environments.
  • Implement monitoring, logging, alerting, and tracing, and improve incident response and platform health.
  • Harden cloud infrastructure through network policies, secrets management, IAM best practices, and compliance controls.
  • Optimize GPU and compute-intensive workloads, automate CI/CD and deployment workflows, define SLOs, and mentor infrastructure engineers.

Requirements

  • 10+ years of experience in Infrastructure, DevOps, or Site Reliability Engineering, with a strong track record of building and operating production systems at scale.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Deep production expertise with Kubernetes, Docker, and container orchestration.
  • Strong proficiency with infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation.
  • Hands-on experience with at least one major cloud provider—AWS, GCP, or Azure—including networking, compute, storage, and identity services.
  • Understanding of observability stacks such as Prometheus, Grafana, or Datadog, and incident management practices.
  • Experience applying cloud-native security practices, including network segmentation, secrets management, and compliance frameworks.
  • Excellent communication skills and the ability to work independently and collaboratively.

Nice to have

  • Experience scaling infrastructure for AI/ML or generative AI workloads, including GPU orchestration.

Culture & Benefits

  • Hybrid collaboration with in-office work in Palo Alto 3 days per week.
  • Salary, equity, and 401(k).
  • Medical, dental, and vision insurance for employees and families, plus HSA and FSA options.
  • Flexible time off, including parental leave, and well-being programs.
  • Daily lunch and snacks, mentorship, and opportunities to work with AI leaders on shipped products.

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