Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$210к-240к/год
$200к$220кмедиана$250к
По похожим ролям (49) ~ $220к/год
На СНГ рынке: $3.3к/мес ($2.8к - $4.2к)
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Хорошая вакансия
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Чётко описанная инфраструктурная роль в быстрорастущей AI-компании предлагает хорошую зарплату, долю в компании и современный стек, но гибридный формат требует жить рядом с Пало-Альто.
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Офис три дняАктуальные технологииСфера AIПонятная рольЗарплата по рынкуСильные инвесторы
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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