Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В Company hidden предлагают четко очерченную платформенную роль уровня Staff с современными облачными технологиями и работой над AI-инфраструктурой, но без указанной зарплаты сложно оценить общий уровень предложения.
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Зарплата не указанаСовременный стекРазвитие AIПонятные задачиРегулируемая сфераГибкий формат
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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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