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臺北市, 臺灣
Hybrid
Join Trend ‧ Join New Generation
趨勢科技 - 全球雲端資安領航者 / 全亞洲最大軟體公司 / 企業版圖橫跨五大洲 / 趨勢全球研發基地在台灣
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Trend Micro XDR applies the most effective AI and expert analytics to the activity data collected from its native sensors in the environment to produce fewer, higher-fidelity alerts. Global threat intelligence from the Trend Micro Smart Protection Network™ combined with expert detection rules continually updated from our threat experts maximize the power of AI and analytical models in unparalleled ways.
All this means detecting more, earlier, and with confidence. We help you stop collecting and analyzing data in silos. Respond faster with fewer resources.
We are looking for the engineer who will deeply involve in (1) the emerging market of Incident Response, and (2) Security Operation Center.
In this position, your major responsibility is to construct the service features, but you will also need to improve the service quality and operate the service with customers. You are encouraged to collaborate with your stakeholders autonomously to explore any possibilities to achieve the defined objectives. Except the technical part, you will also improve your capabilities of communication, requirement exploration, plan breakdown, etc.
[Responsibility]
1. Integrate AI tools (e.g., GitHub Copilot, Claude Code) throughout the development lifecycle—from spec writing and test generation to code review and debugging—rather than using them as occasional shortcuts.
2. Critically evaluate AI-generated output before adoption, maintaining the same engineering standards as handwritten code.
3. Work closely with stakeholders for requirement discussion, cross team integration and troubleshooting.
4. As a full cycle developer responsible for delivery of features from planning, design, implement, test, deploy and operate.
5. Automate and improve development and release processes.
[Required]
1. Bachelor degree or above majored in computer science, computer engineering, software engineering, or related.
2. Programming experience on Python or Java. (We may need to integrate with additional languages depending on the cases.)
3. Experience in network domain.
4. With the web development/debug/test experience.
5. Over three years of software develop experience.
6. Hands on experience in software development and operation (on native cloud environment will be a plus)
7. AI-Assisted Development
- Hands-on experience with AI-native development tools (e.g., Cursor, GitHub Copilot, Claude Code) in a real project or side project
- Ability to provide effective context when working with AI—understanding that output quality depends on input quality
- Habit of critically reviewing AI-generated code rather than adopting it directly
[Personality]
1. Good teamwork and problem-solving skills
2. Proactive working attitude
3. Willing to take the challenge
4. Approaches AI as a core part of the engineering craft—continuously experimenting with new tools, sharing effective workflows with teammates, and treating AI-generated output with the same rigor as handwritten code.
[Big Plus]
1. Familiar with Docker/K8S technique
2. Familiar with Cloud technique especially around the network, security and compute stack
4. Familiar with Grafana, ElasticSearch, Kafka/Kinesis
5. Familiar with deployment tools, ex. Github, Terraform, Helm, etc.
6. Familiar with Linux operation system.
7. Experience in agile software development process
8. Good English communication skill.
9. AI Workflow
- Experience establishing consistent personal AI workflows (e.g., prompt template library, project-specific AI configuration)
- Familiarity with context engineering techniques to guide AI toward higher-quality outputs
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連結智慧 守護世界 --- Connected Intelligence for Securing a Connected World
