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    Senior System Analyst

    • On-site
      • Vienna, Wien, Austria
    • €60,000 - €70,000 per year
    • Technology

    Lead Linux infrastructure, virtualization, Kubernetes, and AI/ML platform setup. Manage storage, automation (Ansible/Terraform), and support hybrid/cloud environments. Optimize and secure systems.

    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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