Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткая зона ответственности на уровне Staff, глобальный масштаб инфраструктуры и работа с Kubernetes, AWS и GPU делают вакансию сильной возможностью в платформенной инженерии; при этом масштаб межкомандных задач предполагает высокую ответственность.
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Большое влияниеСовременный стекИнфраструктура для AIШирокая зона ответственности
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Engineer (AWS/Kubernetes Infrastructure): Building and operating shared cloud, compute, networking, and GPU infrastructure for AI and ML workloads across Wolt, Deliveroo, and DoorDash with an accent on reliability, security, developer experience, and cost efficiency. Focus on evolving multi-cluster Kubernetes platforms, creating Terraform self-service tooling, leading cross-team infrastructure initiatives, and improving observability, incident recovery, and operational scalability.
Location: European Union
Company
hirify.global builds technology for delivery services, connecting customers, merchants, and couriers across more than 500 cities in 30 countries; hirify.global operates together with DoorDash.
What you will do
Set technical direction for shared AWS and Kubernetes infrastructure, balancing reliability, security, developer experience, and cost.
Lead infrastructure initiatives from design through rollout and operation across hirify.global, Deliveroo, and DoorDash, with a focus on GPU workloads.
Evolve Kubernetes clusters, cloud networking, identity, and infrastructure provisioning for varied and growing workloads.
Build reusable Terraform patterns and self-service tooling for safe, consistent infrastructure provisioning.
Mentor engineers, sunset legacy infrastructure, reduce operational toil, and use production signals and developer feedback to improve the platform.
Requirements
Deep experience building and operating Kubernetes and AWS infrastructure in production.
Strong software engineering skills with Go, Python, or a similar language for maintainable tools and automation.
Experience with infrastructure as code, including Terraform, and with designing systems used by other engineering teams.
Experience leading complex technical work across teams, including architectural decisions, delivery, and operational follow-through.
Strong judgment regarding trade-offs in distributed systems, networking, security, reliability, and cloud cost.
Clear communication skills and the ability to align people around a practical technical direction.
Nice to have
Familiarity with GPU workloads and orchestration.
Culture & Benefits
Shape infrastructure used globally while remaining involved in hands-on engineering.
Work with multi-cluster Kubernetes, AI and ML workloads, cloud networking, GitOps, and progressive delivery at global scale.
Own initiatives from design through operation with support from an engineering organization spanning Europe and the United States.
Expand technical leadership and cross-domain influence in a diverse, international environment.
Mentor and learn from engineers and leaders across the organization.
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