Назад
8 часов назад

Infrastructure Engineer (AI)

155 400 - 273 700$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/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): Building resilient, scalable infrastructure for a high-traffic enterprise generative AI platform with an accent on Kubernetes, cloud platforms, infrastructure automation, and service reliability. Focus on leading incident response, designing fault-tolerant systems, defining SLOs and error budgets, and integrating AI-assisted infrastructure workflows.

Location: Hybrid, based out of the New York City, San Francisco, Seattle, or London hubs

Salary: $155.4K–$273.7K base compensation in San Francisco and New York City; $139.8K–$246.3K in other US locations, plus equity.

Company

Writer provides an end-to-end enterprise AI platform for building and deploying AI agents grounded in company data and powered by enterprise-grade large language models.

What you will do

  • Build and operate resilient, performant, and highly available infrastructure for enterprise AI workflows.
  • Design scalable, fault-tolerant systems across AWS, GCP, and Azure using Kubernetes, Helm, Terraform, and related cloud tooling.
  • Automate infrastructure management and operational tasks with Python or Go, reducing manual on-call work and toil.
  • Lead incident response, post-mortems, and root-cause analysis while applying findings to system architecture.
  • Own SLOs, error budgets, on-call operations, reliability, performance, and efficiency for core services.
  • Collaborate with product, security, and engineering teams on reliable system design from conception through launch.

Requirements

  • 5+ years of experience in infrastructure engineering, DevOps, or a similar role operating large-scale, high-availability production systems.
  • Production containerization experience with Kubernetes, plus Helm and Terraform or Pulumi on a major cloud platform; AWS experience is preferred.
  • Strong proficiency in Python or Go for automation and tooling.
  • Daily experience using AI-assisted or agentic development workflows is required.
  • Experience with monitoring and logging stacks such as Prometheus, Grafana, and ELK or equivalent tools.
  • Demonstrated ownership of at least one infrastructure build from zero to production, including measurable outcomes.

Nice to have

  • Software engineering background with experience designing and shipping production services, libraries, or internal frameworks in Python, Go, or a comparable language.

Culture & Benefits

  • Full-time employment with competitive compensation, equity, and a 401(k).
  • Medical, dental, and vision coverage for employees and families.
  • Generous paid time off, company holidays, and 16 weeks of paid parental leave.
  • Fertility and family planning support, early-detection cancer testing, FSA options, and eligible HSA contributions.
  • Annual wellness and learning-and-development stipends.
  • Company-wide and team off-sites.

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