Senior System Analyst

Krila Consultancy; Wien; Vor Ort; EUR 60 000 - 85 000; Vollzeit

Zusammenfassung

A leading consultancy in Austria is seeking a Senior System Analyst to architect and optimize complex infrastructure environments. The ideal candidate will have deep expertise in Linux, virtualization, and AI/ML, and will be responsible for managing high availability systems and mentoring junior team members.

Qualifikationen

• Expert in Linux systems, cloud services, and AI/ML infrastructure.
• Experience with Infrastructure as Code (IaC) using Ansible or Terraform.
• Proficient in container orchestration with Kubernetes and virtualization technologies.

Aufgaben

• Design and optimize Linux-based infrastructure for performance.
• Lead the management of Kubernetes deployment and scaling.
• Support AI applications with GPU management and workload optimization.

Kenntnisse

Linux systems infrastructure setup

Container orchestration

AI and ML application support

Tools

Kubernetes

Ansible

Terraform

CEPH

VMware

Proxmox

KVM

QEMU

Jobbeschreibung

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.

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.