(Sr.) Cloud Engineer (SOAR)

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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Overview

AI is currently at the forefront of technological advancement, marking a transformative shift across industries. As a global cybersecurity leader, Trend Micro is committed to staying at the cutting edge of this evolution, with the goal of integrating AI technology to make the exchange of digital information safer and more secure. Fueled by decades of security expertise, world-leading global threat research and intelligence, and continuous innovation.

TrendAI Vision One™, the AI-powered cybersecurity platform that helps organizations mitigate cyber risk, accelerate detection and response, and operate security with greater clarity and efficiency. Our platform unifies Cyber Risk Exposure Management, Security Operations, Incident Response, and other advanced security capabilities into a single intelligent ecosystem. By combining AI, advanced analytics, expert detection logic, and high-quality telemetry collected from native sensors, TrendAI Vision One™ protects hundreds of thousands of organizations and millions of individuals across clouds, networks, devices and endpoints.

We are looking for a (Sr.) Cloud Engineer to help shape the next generation of AI-driven security services. 
This is a high-impact role for engineers who enjoy solving complex distributed systems problems, building cloud-native platforms,and working at the intersection of AI, security, and large-scale service operations.
Everyone in Group2 has the opportunity to join different teams and share their knowledge and passion, contributing to real results for our customers, you will be expected to bring strong technical ownership, drive engineering excellence, and contribute to how we scale AI-enabled services in production.

[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. Responsible for delivery of features from planning, design, implementation, testing, deploy and operate.
5. Improve delivery process & quality continuously including automation and working model refinement.

[Requirement]
-BS degree or above in Computer Science, Computer Engineering or related field.
-Strong programming experience in Python or Go.
-Experience in container solution (e.g., Docker/K8S)
-Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL and Redis)
-Familiarity with version control systems (e.g. Git) and CI/CD processes (e.g. GitHub Action)
-AI-Assisted Development
    1.Hands-on experience with AI-native development tools (e.g., Cursor, GitHub Copilot, Claude Code) in a real project or side project
    2.Ability to provide effective context when working with AI—understanding that output quality depends on input quality
    3.Habit of critically reviewing AI-generated code rather than adopting it directly

[Extra Skills We Love]
-Experience in developing cloud service solutions using AWS, Azure, or GCP.
-Familiar with other programming lang: ReactJS, Javascript
-Experience in Infrastructure-as-Code (IaC) tools (e.g., Terraform, CloudFormation)
-Experience in monitoring, alerting, and log visualization tools (e.g. Elasticsearch and Kibana)
-Good English communication skill.
-AI Workflow
    1. Experience establishing consistent personal AI workflows (e.g., prompt template library, project-specific AI configuration)
    2. Familiarity with context engineering techniques to guide AI toward higher-quality outputs

[Culture Fit]
-Everyone owns both development and testing — quality is built, not just tested.
-Embraces DevOps culture including design, coding, testing, and support customer issues.
-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.
-Good English communication skills and proactive attitude, strong problem-solving skills, and a  willingness to take on challenges.
-Effective communicator and reliable team player in agile and cross-functional environments.

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連結智慧 守護世界 --- Connected Intelligence for Securing a Connected World