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2 дня назад

Staff Software Engineer - Cloud Infrastructure (AI)

Формат работы
onsite
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 Software Engineer - Cloud Infrastructure (AI): Building and operating the multi-cloud platform that hosts Arena applications, APIs, AI agents, compute, and data pipelines with an accent on cloud architecture, identity, networking, and infrastructure-as-code. Focus on designing durable execution for long-running agent workflows, improving reliability and security at scale, and making infrastructure cost and risk visible.

Location: SF Bay Area, United States; Workplace type: Onsite

Company

hirify.global evaluates how AI models perform in real-world workflows using human preferences, open datasets, and research-driven assessments.

What you will do

  • Own Arena’s cloud architecture across hosting, compute, networking, and the infrastructure supporting products.
  • Define and execute workload strategies across serverless and edge platforms, containers, Kubernetes, and durable execution for long-running AI agent workflows.
  • Design workload identity, least-privilege IAM, short-lived credentials, audited secrets management, private connectivity, and egress controls.
  • Manage infrastructure as code with clear ownership, CI/CD, and review practices.
  • Establish SLOs, monitoring, alerting, on-call, incident response, and post-incident improvement practices.
  • Improve infrastructure cost and risk visibility while helping hire and mentor the infrastructure team.

Requirements

  • 6+ years of experience building and operating production cloud infrastructure, including ownership of architecture decisions at a fast-growing company.
  • Deep hands-on experience with GCP and/or AWS, Kubernetes, and Terraform or a similar infrastructure-as-code tool.
  • Strong experience with cloud identity and secrets at scale, including OIDC, workload identity federation, IAM design, secret managers, and key rotation.
  • Experience running serverless or edge platforms such as Vercel, Cloud Run, Lambda, or Cloudflare Workers, with judgment about when to use them.
  • Experience with queues, workflow engines, or durable execution systems for long-running and asynchronous workloads.
  • Track record of leading infrastructure through incidents and converting lessons into lasting improvements.
  • Clear written communication and ability to explain trade-offs to engineers and leadership.

Nice to have

  • Infrastructure experience for AI products, including sandboxed code execution, model serving, or GPU clusters.
  • Experience with data platforms such as Databricks and Postgres at scale.
  • Background in cloud security, detection engineering, or security posture tooling.
  • Experience as the first infrastructure hire at a fast-growing startup.

Culture & Benefits

  • Comprehensive medical, dental, vision, and additional health and wellness benefits.
  • Opportunity to work on AI with a small, mission-driven team.
  • Culture focused on transparency, trust, craftsmanship, curiosity, impact, and community.
  • Equal employment opportunity and commitment to a diverse and inclusive workforce.

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