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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия дает заметную ответственность за платформу и работу с AI, но объединяет инфраструктуру, инструменты для разработчиков, data engineering и AI enablement, что делает охват роли широким.
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Широкий охватСовременный стекФокус на AIПонятная ответственность
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Head of Platform (AI): Leading the platform group across AWS, Kubernetes, developer tooling, data engineering, and AI agent infrastructure with an accent on reliability, scalability, automation, and cost efficiency. Focus on building a data engineering function, enabling AI agent development, shaping technical strategy, and growing a hands-on platform team.
Location: Remote; conditions: Tel Aviv, Israel
Company
hirify.global is hiring a Head of Platform to lead the company-wide platform function.
What you will do
Lead the platform group serving all product squads and report to the VP R&D.
Own the AWS and Kubernetes foundation, focusing on reliability, security, scalability, and cost efficiency.
Standardize Infrastructure as Code, automation, CI/CD, self-service tooling, service packages, migrations, databases, and developer platform capabilities.
Build a data engineering function and reliable, scalable pipelines for large volumes of data from multiple sources.
Build infrastructure for developing, deploying, and running AI agents, and introduce internal AI agents, Claude, and related tooling while managing costs.
Hire, mentor, and develop engineers; define processes and technical strategy; prioritize across four domains; and partner with product squads, data science, and R&D leadership.
Requirements
5+ years of experience leading engineering teams, including platform or infrastructure teams in a scaling technology company.
Proven hands-on engineering experience in DevOps, infrastructure, platform, or backend.
Strong technical foundation in cloud architecture and infrastructure, including AWS, Kubernetes, Infrastructure as Code, and CI/CD.
Experience balancing reliability, scalability, delivery speed, and cost.
Ability to lead across multiple technical disciplines, including areas where specialists have deeper expertise.
Experience building teams, defining technical strategy, and delivering cross-functional initiatives.
Solid understanding of data pipelines and working with large-scale data.
Hands-on approach, including diving into code, learning new domains quickly, and changing ineffective approaches.
Strong execution and prioritization skills, including ownership, process building, bringing order to growth, and driving stakeholders toward results.
Nice to have
Hands-on exposure to AI agents, LLM infrastructure, evaluations, or AI cost optimization.
Experience building an internal developer platform or leading a developer experience function.
Experience building or leading data engineering, ideally from scratch.
Familiarity with Node.js, Python, microservices, Kafka, and Postgres.
Culture & Benefits
Remote workplace type.
Company-wide platform function supporting all product squads.
Opportunity to shape how engineering teams build and ship.
Hands-on leadership across platform, infrastructure, data engineering, and AI enablement.
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