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Роль дает четкую ответственность за современную облачную инфраструктуру заметного AI-продукта, включая надежность, безопасность и развитие команды; главный компромисс - работа в офисе стартапа.
?Офисный формат
Актуальные технологии
Сфера AI
Широкая ответственность
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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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