Senior System Analyst

Krila Consultancy & Recruitment; Wien; Vor Ort; EUR 50 000 - 70 000; Vollzeit

Zusammenfassung

A leading consultancy is seeking a Senior System Analyst to architect, implement, and optimize complex infrastructure environments. The role demands expertise in Linux, Kubernetes, and AI/ML support, with a focus on high availability and documentations. Successful candidates will have the opportunity to lead infrastructure projects in a collaborative environment.

Qualifikationen

• Expert in Linux systems with experience in Kubernetes and hypervisors.
• Deep knowledge of AI/ML application support and GPU management.
• Proficient in IaC tools like Ansible and Terraform.

Aufgaben

• Design and optimize Linux-based infrastructure for performance.
• Lead setup and management of container orchestration platforms.
• Mentor junior team members and stay current with emerging technologies.

Kenntnisse

Linux systems infrastructure optimization

Kubernetes setup and operations

GPU management

Infrastructure as Code (IaC)

Virtualization

Software-defined storage

AI and ML application support

Tools

Ansible

Terraform

CEPH

Jobbeschreibung

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Visa requirement: There is no sponsorship. Must be already resident in Austria. An Austrian/EU Citizen, or RWR+ card, is required.

The Senior System Analyst will play a critical role in architecting, implementing, and optimizing complex infrastructure environments. This position requires deep expertise in Linux systems, virtualization, container orchestration, and AI/ML infrastructure, ensuring robust and scalable platforms to support business and research initiatives.

Key Responsibilities

• Design, implement, and optimize Linux-based infrastructure for high availability and performance.
• Lead the setup and management of containers and orchestration platforms (Kubernetes), including deployment, scaling, and troubleshooting.
• Oversee hypervisor architecture and operations, ensuring efficient virtualization and resource allocation.
• Provide technical support for AI and ML applications, including GPU management and workload optimization.
• Collaborate with cross-functional teams to deliver infrastructure projects on time and within scope.
• Develop and maintain Infrastructure as Code (IaC) using tools like Ansible and Terraform.
• Manage and optimize software-defined storage solutions (e.g., CEPH).
• Document system configurations, procedures, and best practices.
• Mentor junior team members and provide guidance on complex technical issues.
• Stay current with emerging technologies in infrastructure, virtualization, and AI/ML domains.

Job requirements

Expert knowledge of

• Linux systems infrastructure setup, operations, practices and optimization
• Containers and orchestration / Kubernetes setup and operations
• Hypervisor architecture and operations
• AI and ML application support and GPU management

Experience with:

• Virtualization, particularly VMware, Proxmox, KVM and QEMU on Linux
• Software-defined storage, particularly CEPH
• Artificial Intelligence and Machine Learning infrastructure setup and configuration
• Infrastructure as Code (IaC) platforms, particularly Ansible and Terraform

Familiarity with:

• Cisco Unified Computing System (UCS)
• Hyperconverged Infrastructure
• Cisco fabric interconnect infrastructure
• Windows based systems administration
• Cloud services and hybrid environments management.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Non-profit Organizations

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