обновлено 14 дней назад
Senior DevOps Engineer Engineer (Diagnostics & Service)
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Описание вакансии
Текст:
TL;DR
Senior DevOps Engineer Engineer (Diagnostics & Service) (Python/DevOps): Developing diagnostic, automation, monitoring, and data tools for semiconductor equipment customer support with an accent on Python, DevOps practices, and complex equipment troubleshooting. Focus on analyzing machine and diagnostic data, solving service escalations, improving field procedures, and supporting engineers and customers during complex repairs.
Location: Hsinchu, Taiwan; occasional on-site service activities may be required
Company
develops semiconductor manufacturing equipment and related customer-support capabilities.
What you will do
- Lead and support complex technical problem solving, service escalations, repairs, and recovery actions.
- Analyze equipment, diagnostic, process, and machine-data information.
- Develop and maintain internal diagnostic, automation, monitoring, and data tools using Python.
- Apply DevOps practices including version control, testing, CI/CD, release management, deployment, monitoring, and documentation.
- Translate field-service needs into technical and digital requirements and improve service procedures based on field feedback.
- Work with Customer Support, engineering, software, data, infrastructure, and customer stakeholders; train and coach engineers.
Requirements
- Bachelor’s degree in electrical, mechatronics, mechanical, computer, software engineering, or a related technical field, or equivalent technical experience.
- Relevant experience in technical engineering, equipment support, diagnostics, automation, or Customer Support.
- Semiconductor industry experience is required.
- Hands-on Python programming and DevOps experience, including Git, code review, automated testing, CI/CD, deployment, monitoring, and documentation.
- Experience with complex equipment, troubleshooting, service procedures, process improvement, and cross-functional or matrix organizations.
- Strong written and spoken English is required.
Nice to have
- 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 high-availability industrial environments.
- Technical competence in electronics, mechatronics, pneumatics, hydraulics, mechanical engineering, or semiconductor process technology.
Culture & Benefits
- Cross-functional collaboration across Customer Support, D&E, Integration, software, data, infrastructure, and customer organizations.
- Customer-facing support, technical workshops, and occasional on-site service work.
- Training, coaching, technical documentation, and reusable tools are part of the role.
- promotes an inclusive and diverse workforce as an equal opportunity employer.
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