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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная senior-роль даёт заметное влияние на Azure, Kubernetes и развивающуюся AI-инфраструктуру, но работа в офисе в Орхусе ограничивает гибкость.
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Только офисСовременная платформаВлияние на AI-направлениеПонятная зона ответственности
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Platform Engineer (AI): Building and operating Azure and hybrid cloud infrastructure for agentic AI workloads, Kubernetes services, and more than 17 development teams with an accent on infrastructure as code, reliability, scalability, and secure platform architecture. Focus on hosting and orchestrating AI agents, integrating cloud-native and on-prem AI workloads, managing agent costs and scaling, and creating developer-friendly platform capabilities.
Location: Aarhus, Denmark
Company
hirify.global IT delivers group-wide, business-critical IT solutions while replacing legacy systems with a modular and flexible integrated setup.
What you will do
Expand Azure Cloud capabilities using Infrastructure as Code and Microsoft Cloud Adoption Framework principles.
Build and operate infrastructure for agentic AI workloads, including agent hosting, orchestration, reliability, and scaling.
Develop a hybrid AI setup combining cloud-native AI capabilities with on-premises infrastructure.
Contribute to AI Center of Excellence guidance and standards for agentic usage, credit and cost management, and agent scaling.
Strengthen and tune Kubernetes workloads for performance, resilience, and efficiency.
Drive a developer-friendly Platform Engineering approach in collaboration with Software Engineering teams and the AI Center of Excellence.
Requirements
Solid understanding of the Azure Cloud ecosystem, including its opportunities and limitations.
Proficiency in Infrastructure as Code, ideally using Bicep.
Experience with scripting using Python, Bash, or PowerShell.
Experience with Kubernetes fundamentals, including deployments, services, and scaling.
Curiosity about or exposure to AI infrastructure concepts such as model hosting, agent orchestration frameworks, or GPU-backed workloads.
General familiarity with CI/CD and networking.
Ability to solve complex technical challenges, challenge established ways of working, and combine technical depth with a pragmatic mindset.
Culture & Benefits
Join an international, highly skilled, and high-performing Cloud Platform team.
Work with freedom and responsibility to make an individual impact.
Participate in an early-stage AI Center of Excellence established with the CTO Office.
Help modernize the IT landscape to improve scalability, composability, and customer experience.
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