Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль чётко связана с современной облачной платформой в AI-продукте, но зарплата не раскрыта, а регулярные дежурства добавляют операционной нагрузки.
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ДежурстваЗарплата не указанаСовременный стекAI-инфраструктураПонятные задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Cloud Platform Engineer (AI) (Kubernetes/GCP/Terraform): Building and operating scalable cloud infrastructure and self-service developer platforms with an accent on GKE, Kubernetes automation, GitOps, and cloud compliance. Focus on designing golden paths, optimizing production clusters, reducing operational complexity, and supporting reliable deployments through infrastructure automation and on-call operations.
Location: Remote, UK
Company
hirify.global provides a platform connecting researchers and companies with a global pool of participants to collect ethically sourced human behavioral data for AI development.
What you will do
Manage and optimize production Kubernetes clusters on GKE using Terraform.
Design golden paths, automation strategies, and self-service infrastructure for development teams.
Create infrastructure solutions that support safe, efficient application development and deployment.
Provide technical expertise on Google Cloud Platform and Kubernetes to internal teams.
Support SOC2, ISO-27001, and Cyber Essentials compliance in cloud environments.
Participate in a rolling on-call rota.
Requirements
Extensive experience administering and optimizing large-scale Kubernetes clusters.
Strong experience with Kubernetes tooling, including Helm, kustomize, and GitOps methodologies such as ArgoCD.
Proven experience with Google Cloud Platform, GKE, and production cluster maintenance.
Strong experience with Terraform for infrastructure provisioning and automation.
Solid programming skills in Python and/or TypeScript.
Experience creating developer documentation and self-service solutions, with strong empathy for internal users.
Nice to have
Experience with AWS and CDK in a multi-cloud environment.
Experience implementing or maintaining SOC2 and ISO-27001 compliance standards.
Familiarity with observability tools such as Datadog.
Experience applying security best practices to cloud infrastructure.
Culture & Benefits
Remote working within a mission-driven AI infrastructure company.
Work on a platform supporting high-quality human data collection for AI development.
Competitive salary and benefits.
Opportunities to contribute to AI innovation and groundbreaking research.
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