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3 дня назад

Principal Cloud Architect - GCP (AI)

90 000 - 120 000GBP
Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Principal Cloud Architect - GCP (AI): Designing and implementing large-scale big data cloud architectures and owning end-to-end delivery for production-grade cloud solutions with an accent on machine learning, analytics, and data migration. Focus on pre- and post-sales architectural advisory, containerized deployments, and building scalable, high-performance systems for enterprise clients.

Location: Remote based, with occasional travel to / around London

Salary: £90000 - £120000 per annum

Company

hirify.global is a Google Cloud specialist focused on AI and data transformation.

What you will do

  • Design and implement large-scale big data cloud architectures on GCP.
  • Own projects end-to-end, from conception through completion.
  • Deliver production-grade cloud solutions across data, security, and networking.
  • Leverage container technologies (GKE / Kubernetes) effectively in deployments.
  • Provide technical pre-sales architectural advice and thought leadership for machine learning, analytics, and data migration projects.
  • Write scalable, high-performance code using Python, Java, and SQL.

Requirements

  • Experience designing and migrating complex, production-grade cloud deployments on GCP.
  • Strong solution and cloud architecture experience as a subject matter expert.
  • Proven ability to deliver end-to-end projects for enterprise clients.
  • Hands-on experience with container technologies (GKE / Kubernetes).
  • Programming experience with Python, Java, and SQL.
  • Ability to travel occasionally to / around London for workshops.

Culture & Benefits

  • Remote-based role with occasional London travel for workshops.
  • 25 days holiday plus bank holidays.
  • Private healthcare.
  • Income protection.

Hiring process

  • Engagement with customers and prospects for pre- and post-sales architectural discussions.
  • Assessment of GCP architecture and delivery experience for enterprise AI/data projects.

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