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5 дней назад

Staff Platform Engineer (AI & Agentic AI Platform Engineering)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France/UK/Spain +2 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Platform Engineer (AI & Agentic AI Platform Engineering): Building secure, scalable multi-cloud hosting platforms and delivery infrastructure for AI-driven workflows with an accent on Kubernetes, Infrastructure as Code, GitOps, and regulated-environment compliance. Focus on automating AWS and Azure environments, enabling GPU workloads and autoscaling, and designing reliable platform services with strong observability and security.

Location: United Kingdom - Walton Oaks; hybrid work with some office presence required. The role is also posted at hirify.global sites in France, Lithuania, the United Kingdom, Spain, and Greece.

Company

hirify.global is a pharmaceutical and healthcare company developing medicines and digital solutions to improve patient outcomes.

What you will do

  • Build reusable modules and templates for provisioning environments across AWS and Azure.
  • Design multi-cloud infrastructure patterns using Infrastructure as Code and GitOps.
  • Operate auditable CI/CD pipelines and automate application-team onboarding and environment setup.
  • Run Kubernetes clusters with autoscaling, workload isolation, hardened ingress, registry access, and role-scoped permissions.
  • Maintain platform services for logging, metrics, alerting, registries, DNS, and TLS.
  • Develop runbooks, incident-response guidance, self-healing automation, and reliability improvements.

Requirements

  • Strong experience in platform engineering, DevOps, and cloud-native infrastructure.
  • Deep expertise in Kubernetes, container orchestration, and Terraform.
  • Experience with multi-cloud architecture across AWS, Azure, and GCP.
  • Experience with GitOps workflows, including Argo CD, CI/CD design, observability, and security/compliance frameworks.
  • Bachelor’s or master’s degree in computer science, engineering, or a related technical field.
  • Ability to work in a hybrid arrangement with some office presence required.

Nice to have

  • Experience with Generative AI infrastructure, evaluation frameworks, and integration patterns.
  • Knowledge of GxP-regulated environments and qualification processes.
  • Experience driving platform adoption and mentoring engineering teams.
  • Experience in pharmaceutical, healthcare, or other highly regulated industries.

Culture & Benefits

  • Flexible workplace culture supporting work-life harmony.
  • Focus on digital transformation, data, modeling, and automation for drug discovery and development.
  • Inclusive workplace with support for reasonable disability-related adjustments.
  • Patient-centered values focused on courage, joy, equity, and excellence.

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