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Senior System Analyst

salary Salary :

€60,000 - 70,000 yearly

icon building Unternehmen : Krila Consultancy
icon briefcase Auftragstyp : Vollzeit

Anzahl der Bewerber

 : 

000+

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Arbeitsbeschreibung - Senior System Analyst

Job description

Job Title: Senior System Analyst

Location: Vienna, Austria (onsite)

Position Type: Full-time

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

  • NetApp storage administration

  • Windows based systems administration

  • Cloud services and hybrid environments management.

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