Infrastructure Operations Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Infrastructure Operations Engineer (AI): Managing and scaling data center infrastructure for a GPU cloud with an accent on service reliability, capacity planning, and critical systems monitoring. Focus on automating operational processes, resolving major incidents, and ensuring high availability of power, cooling, and network connectivity.
Location: Onsite in Norway
Company
is a high-performance GPU cloud provider engineered specifically to reduce the complexity of AI development for startups and large enterprises.
What you will do
- Manage infrastructure projects, including installations and upgrades across various data centers.
- Monitor critical systems such as power, cooling, and network connectivity to ensure scalability and reliability.
- Handle escalated customer support issues and conduct root cause analysis for major incidents to implement long-term fixes.
- Design and implement automation scripts using Ansible, PowerShell, or Python to optimize operational processes.
- Collaborate with cross-functional teams on capacity planning and infrastructure optimization.
- Participate in on-call rotations and shift work to support critical incident response.
Requirements
- 4+ years of experience working in data center environments.
- Expertise in server administration, virtualization, and networking protocols.
- Hands-on experience with automation tools such as Ansible, PowerShell, or Python.
- Must be based in or able to work onsite in Norway.
- Advanced technical certifications and strong problem-solving skills.
- Ability to operate effectively in ambiguous, results-driven environments.
Culture & Benefits
- Highly competitive compensation package including base salary, bonus, and equity.
- Dynamic progression plan with opportunities to lead critical cross-functional initiatives.
- Human-First Flexibility, providing autonomy to shape your workday around life events.
- Collaborative and innovative environment within one of the fastest-growing AI infrastructure companies.
- Performance reviews conducted every 12 months.
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