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HMI - CS Senior DevOps Engineer (Diagnostics & Service) - Hsinchu

at ASML

Back to all Python jobs
ASML logo
Industry not specified

HMI - CS Senior DevOps Engineer (Diagnostics & Service) - Hsinchu

at ASML

Mid LevelNo visa sponsorshipPython

Posted 21 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Senior DevOps Engineer - Diagnostics & Service** As a **Senior DevOps Engineer**, you will enhance Customer Support's diagnostics and resolution of complex equipment issues. Leverage service-engineering expertise, Python, and DevOps skills to develop diagnostic, automation, and data tools, enabling engineers to work efficiently and consistently. Key responsibilities include leading complex technical problem-solving, analyzing equipment and machine data, supporting engineering teams, and driving service improvements through real field issues and data. Utilize Python for data analysis, automation, and diagnostic workflows, and apply DevOps practices such as version control, CI/CD, and monitoring to ensure reliable tool maintenance. Collaborate with cross-functional teams to translate field-service needs into technical requirements, and train engineers on advanced diagnostics and digital tools. Hands-on experience in Python programming, DevOps, and service-related domains is essential; tenure at a senior level, 7+ years, is preferred.

Introduction to the job: As a Senior DevOps Engineer Engineer – Diagnostics & Service , you will improve how Customer Support diagnoses and resolves complex equipment issues. You will combine service-engineering knowledge with Python and DevOps skills to develop diagnostic, automation, and data tools that help engineers work faster and more consistently. You will work with service teams, engineering, infrastructure teams, and customers to turn real field issues into practical improvements. Role and responsibilities: Lead and support complex technical problem solving and service escalations. Analyze equipment, diagnostic, process, and machine-data information. Support engineers and customer technical teams during complex repairs and recovery actions. Develop and maintain internal diagnostic, automation, monitoring, and data tools. Use Python for data analysis, automation, integrations, and diagnostic workflows. Apply DevOps practices, including version control, testing, CI/CD, release management, deployment, monitoring, and documentation. Improve service procedures, diagnostic content, and ways of working based on field feedback and data. Translate field-service needs into clear requirements for technical and digital solutions. Work with Customer Support, D&E, Integration, software, data, and infrastructure stakeholders. Train and coach engineers on diagnostics, technical problem solving, and digital tools. Share lessons learned through procedures, technical documentation, training, and reusable tools. Education and experience: Bachelor’s degree in Electrical Engineering, Mechatronics, Mechanical Engineering, Computer Engineering, Software Engineering, or a related technical field. Equivalent technical experience and working level may be considered. Relevant experience in technical engineering, equipment support, diagnostics, automation, or Customer Support. Semiconductor industry experience is required. Experience with complex equipment, service procedures, troubleshooting, or process improvement. Experience working with multiple stakeholders in a cross-functional or matrix organization. Skills: Required Strong analytical and problem-solving skills. Hands-on Python programming experience. Hands-on DevOps experience , including Git/version control, code review, automated testing, CI/CD, release or deployment processes, monitoring, and documentation. Ability to build and maintain internal tools for diagnostics, automation, data analysis, or service enablement. Ability to explain technical issues clearly to engineers, stakeholders, and customers. Strong written and spoken English. Preferred Experience with machine data, monitoring systems, APIs, databases, cloud or web applications, or AI-enabled diagnostic tools. Experience with technical training, coaching, knowledge management, or procedure development. Experience with diagnostic or service applications in a high-availability industrial environment. Strong technical competence in a relevant engineering discipline, such as electronics, mechatronics, pneumatics, hydraulics, mechanical engineering, or semiconductor process technology. Good understanding of complex equipment, modules, and system interactions. Other information: This is a Customer Support technical role. The main purpose is to improve diagnostic and service capability for semiconductor equipment. Python and DevOps are required because the role develops and supports internal diagnostic and service-enablement tools. The role does not own central IT infrastructure, enterprise security platforms, or corporate DevOps platforms. The role works across Customer Support, D&E, Integration, data, software, infrastructure, and customer organizations. Customer-facing support, technical workshops, and occasional on-site service activities may be required.

HMI - CS Senior DevOps Engineer (Diagnostics & Service) - Hsinchu

at ASML

Back to all Python jobs
ASML logo
Industry not specified

HMI - CS Senior DevOps Engineer (Diagnostics & Service) - Hsinchu

at ASML

Mid LevelNo visa sponsorshipPython

Posted 21 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Senior DevOps Engineer - Diagnostics & Service** As a **Senior DevOps Engineer**, you will enhance Customer Support's diagnostics and resolution of complex equipment issues. Leverage service-engineering expertise, Python, and DevOps skills to develop diagnostic, automation, and data tools, enabling engineers to work efficiently and consistently. Key responsibilities include leading complex technical problem-solving, analyzing equipment and machine data, supporting engineering teams, and driving service improvements through real field issues and data. Utilize Python for data analysis, automation, and diagnostic workflows, and apply DevOps practices such as version control, CI/CD, and monitoring to ensure reliable tool maintenance. Collaborate with cross-functional teams to translate field-service needs into technical requirements, and train engineers on advanced diagnostics and digital tools. Hands-on experience in Python programming, DevOps, and service-related domains is essential; tenure at a senior level, 7+ years, is preferred.

Introduction to the job: As a Senior DevOps Engineer Engineer – Diagnostics & Service , you will improve how Customer Support diagnoses and resolves complex equipment issues. You will combine service-engineering knowledge with Python and DevOps skills to develop diagnostic, automation, and data tools that help engineers work faster and more consistently. You will work with service teams, engineering, infrastructure teams, and customers to turn real field issues into practical improvements. Role and responsibilities: Lead and support complex technical problem solving and service escalations. Analyze equipment, diagnostic, process, and machine-data information. Support engineers and customer technical teams during complex repairs and recovery actions. Develop and maintain internal diagnostic, automation, monitoring, and data tools. Use Python for data analysis, automation, integrations, and diagnostic workflows. Apply DevOps practices, including version control, testing, CI/CD, release management, deployment, monitoring, and documentation. Improve service procedures, diagnostic content, and ways of working based on field feedback and data. Translate field-service needs into clear requirements for technical and digital solutions. Work with Customer Support, D&E, Integration, software, data, and infrastructure stakeholders. Train and coach engineers on diagnostics, technical problem solving, and digital tools. Share lessons learned through procedures, technical documentation, training, and reusable tools. Education and experience: Bachelor’s degree in Electrical Engineering, Mechatronics, Mechanical Engineering, Computer Engineering, Software Engineering, or a related technical field. Equivalent technical experience and working level may be considered. Relevant experience in technical engineering, equipment support, diagnostics, automation, or Customer Support. Semiconductor industry experience is required. Experience with complex equipment, service procedures, troubleshooting, or process improvement. Experience working with multiple stakeholders in a cross-functional or matrix organization. Skills: Required Strong analytical and problem-solving skills. Hands-on Python programming experience. Hands-on DevOps experience , including Git/version control, code review, automated testing, CI/CD, release or deployment processes, monitoring, and documentation. Ability to build and maintain internal tools for diagnostics, automation, data analysis, or service enablement. Ability to explain technical issues clearly to engineers, stakeholders, and customers. Strong written and spoken English. Preferred Experience with machine data, monitoring systems, APIs, databases, cloud or web applications, or AI-enabled diagnostic tools. Experience with technical training, coaching, knowledge management, or procedure development. Experience with diagnostic or service applications in a high-availability industrial environment. Strong technical competence in a relevant engineering discipline, such as electronics, mechatronics, pneumatics, hydraulics, mechanical engineering, or semiconductor process technology. Good understanding of complex equipment, modules, and system interactions. Other information: This is a Customer Support technical role. The main purpose is to improve diagnostic and service capability for semiconductor equipment. Python and DevOps are required because the role develops and supports internal diagnostic and service-enablement tools. The role does not own central IT infrastructure, enterprise security platforms, or corporate DevOps platforms. The role works across Customer Support, D&E, Integration, data, software, infrastructure, and customer organizations. Customer-facing support, technical workshops, and occasional on-site service activities may be required.

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