Job descriptions may display in multiple languagesbased on your language selection.

What we offer:

Group Summary:

What you can expect

We are seeking a senior, hands-on engineer to lead the operation and optimization of our Linux server landscape across physical hardware, VMware, and public clouds. You will design and improve automation (Bash and Python), own complex troubleshooting (including GPU-enabled hosts and workloads), and raise our standards for reliability and security. Configuration management is centered on Puppet; Linux systems integrate with Active Directory via sssd. Docker is a must. You will join and mentor a globally distributed team.

• Design, operate, and harden Linux servers (Ubuntu, CentOS, RHEL) on physical hardware and in VMware, AWS, and Azure
• Manage bare-metal server lifecycle: provisioning, firmware/BIOS updates, RAID, IPMI/iDRAC/iLO, hardware diagnostics
• Build and maintain automation and tooling in Bash and Python (provisioning helpers, compliance checks, health probes, monitoring integrations, cloud/API utilities
• Advance Puppet-based configuration management (roles/profiles, modules, Hiera, r10k, Git workflows, code reviews)
• GPU passthrough/vGPU on VMware ESXi; GPU-enabled instances in AWS and Azure
• Containerized GPU workloads using Docker and the NVIDIA Container Toolkit
• Maintain Linux-AD integration using sssd (Kerberos/LDAP, PAM/NSS, sudo policies)
• Patching, lifecycle, and vulnerability remediation aligned with security best practices (SELinux/AppArmor, TLS)
• Monitor system health and availability with Icinga; tune alerting, reduce noise, drive incident resolution and root cause analysis
• Troubleshoot system, network, and storage issues (DNS, DHCP, routing, VLANs, firewalls; NFS/SMB)
• Work with storage technologies including Fibre Channel SAN and S3 buckets (object storage)
• Ensure dependable backup/restore and disaster recovery testing
• Collaborate effectively across time zones; mentor teammates and champion operational standards

What you'll bring

• 5+ years operating Linux in production (Ubuntu, CentOS, RHEL), including physical servers and virtualized/cloud environments
• Experience with VMware vSphere and with at least one public cloud (AWS or Azure)
• Advanced Bash and Python coding skills (reliable CLI tools, automation workflows, interacting with cloud SDKs/REST APIs, testing and versioning)
• Production-grade Docker experience (image build/maintenance, registries, Compose, security best practices; GPU containers with NVIDIA toolkit)
• Deep hands-on expertise with Puppet in an enterprise environment (roles/profiles, modules, Hiera, r10k, Git-based delivery)
• Experience with GPU-equipped Linux systems
• Practical experience with AD integration on Linux via sssd
• Solid knowledge of networking and security fundamentals; comfortable with SELinux/AppArmor and certificate/TLS management
• Experience operating monitoring and alerting platform
• Familiar with backup/restore processes and disaster recovery concepts
• Clear communicator who documents effectively and works well in a distributed team

Nice to have

• Kubernetes exposure
• Terraform or similar IaC for cloud infrastructure
• CI/CD practices (GitLab CI/GitHub Actions), packaging (RPM/DEB), artifact management
• RHEL ecosystem tools (Satellite/Foreman)
• Relevant certifications (RHCE/LFCE, AWS/Azure Associate)

What we offer

• Flexible working hours and hybrid work
• Health programs, sports and team events
• An extensive training program and exciting internal development opportunities
• Meal allowance

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.