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As a Senior Computer Systems Engineer within ASML's Business Line Applications, you will join the Software Facility & Infrastructure group in the Metrology and Patterning Cluster. This team develops software infrastructure, diagnostics, and facilities for YieldStar and E-Beam product lines. You will lead technical decisions and guide the transition to a future-proof computing platform. Your expertise in computer systems, networking, and automation will enable you to influence architecture, mentor peers, and ensure high-quality solutions across multiple technology domains.
Job Responsibility:
Drive architecture and design decisions for scalable computing platforms
Analyze and optimize system performance across Windows and Linux environments
Lead network troubleshooting and ensure robust connectivity for complex systems
Own technology competence areas: Ansible, C#, Windows, Linux, Juniper OS, PowerShell, Virtualization, Containers, and Networking
Automate OS installation/configuration and infrastructure provisioning
Implement and maintain virtualization and containerization frameworks (e.g., KVM, Kubernetes)
Ensure end-to-end quality through testing strategies, including automated frameworks
Collaborate with DevOps, IT infrastructure, and hardware teams in an Agile/SAFe environment
Act as a technology mentor and competence owner for critical domains
Requirements:
Master's or PhD in Computer Science, Electrical Engineering, or related field
10+ years in high-tech industry with proven expertise in computer systems engineering
Strong experience in: Windows & Linux OS internals and performance tuning
Virtualization (KVM, VMware) and container orchestration (Kubernetes, Docker)
Network architecture, troubleshooting, experience in Juniper switches is a Plus
Automation tools (Ansible) and scripting (Python, PowerShell, Shell)
System performance analysis and diagnostic tools
Familiarity with cybersecurity principles
Familiarity with software lifecycle management
Nice to have:
Experience in Juniper switches
Experience in C# development and automated testing frameworks (e.g., Robot Framework)