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8 дней назад

Staff Infrastructure Engineer (AI)

240 000 - 285 000$
Формат работы
hybrid
Тип работы
fulltime
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): Designing and building a standardized, automated software factory covering CI, deployment, operations, and an internal agentic SRE product with an accent on platform reliability, developer experience, and AI-assisted delivery. Focus on scaling CI/CD, creating safe infrastructure self-service, codifying observability, and enabling engineers and AI agents to resolve incidents across the technology stack.

Location: Hybrid in the United States; must be commutable to the San Francisco office and work in person 3–4 days per week, with required attendance on Tuesdays and Thursdays. Locations listed: San Francisco and NYC.

Salary: $240K–$285K annually, plus equity and benefits.

Company

Genius AI builds technology that helps local businesses automate administration across booking, marketing, client management, finances, staffing, and inventory.

What you will do

  • Scale the CI platform as the orchestration layer for the software factory.
  • Build deployment systems that reduce the operational burden on engineering teams.
  • Design guardrails, validation, and automated approval paths for infrastructure-as-code changes.
  • Develop tools, access controls, and workflows that enable engineers and AI agents to investigate and resolve incidents across application, service, compute, storage, and network layers.
  • Own SLOs, codify monitoring in Terraform, and improve alert quality across the organization.
  • Write technical designs, review complex changes, set platform direction, and mentor engineers.

Requirements

  • 8+ years of professional software engineering experience, including several years in infrastructure, platform, or developer experience.
  • Staff-level ownership of a platform or build and deployment system used by many engineers, with measurable improvements in velocity or reliability.
  • Hands-on experience with a major public cloud, preferably AWS, and production Kubernetes operations.
  • Strong experience with Terraform, GitOps delivery, and ArgoCD or a similar tool.
  • Experience designing CI/CD at scale, including pipeline standardization, self-hosted runners, build caching, progressive delivery, and safe rollbacks.
  • Experience defining SLOs, improving alerting, and integrating AI tooling meaningfully into development workflows.

Nice to have

  • Experience at a high-growth startup or within a small, high-leverage platform team.

Culture & Benefits

  • In-person engineering environment with a hybrid schedule.
  • Equity plan participation.
  • Health and wellbeing benefits.
  • Retirement savings benefits.
  • Inclusive workplace committed to equal opportunity and employee support.

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