Job Description
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, our cybersecurity platform protects hundreds of thousands of organizations and millions of individuals across clouds, networks, devices, and endpoints.
We are building an AI-native engineering organization. That means AI is not an optional accelerator here — it is a core part of how we design, build, test, and ship. We are looking for backend engineers who have already established their own AI-driven development workflows and are ready to bring that mindset to large-scale, security-critical systems.
What You’ll Do
• Drive the full development lifecycle with AI at every stage — from spec writing and design, through implementation, testing, deployment, and operations — using tools like Claude Code, GitHub Copilot, or Cursor as a first-class part of your workflow, not a last resort.
• Design and implement backend services and APIs for cloud-based platforms.
• Work with containers, cloud infrastructure, and deployment pipelines to deliver scalable, reliable services.
• Optimize performance for services processing large volumes of data.
• Continuously improve system monitoring, alerting, and incident response.
• Collaborate with cross-functional teams — product, platform, security — to deliver secure and maintainable software.
• Contribute to and improve CI/CD pipelines and automation practices.
How you'll do adopt AI
• Established a repeatable AI-native development workflow.
• Practices context engineering: actively managing what is given to AI to produce high-quality, project-appropriate output.
• Familiarity with AI-native tools (e.g., Claude Code, GitHub Copilot, Cursor) and how to configure them for a codebase (e.g., CLAUDE.md, Cursor Rules).
• Validates AI-generated output — not just running it and moving on; reviewing logic, edge cases, and alignment with system design.
• Experience building or using Agent Skills or MCP servers to extend AI capabilities in a workflow.
Who You Are
• Proficient in at least one backend language: Python, Go, Java, or similar.
• Experience building APIs and microservices.
• Familiar with containerization (Docker, Kubernetes) and at least one cloud platform (AWS, GCP, Azure).
• Comfortable with DevOps tools and CI/CD pipelines (Terraform, GitHub Actions, Jenkins, etc.).
• Solid understanding of software testing, observability, and system performance.
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Nice to Have
• Experience driving measurable improvements in team productivity or code quality through AI workflow adoption.
• Experience with event-driven or real-time systems.
• Familiarity with data pipelines or large-scale data processing.
• Cloud security knowledge or IAM best practices.
• Experience building or maintaining internal AI tooling (agent pipelines, prompt template libraries, MCP servers).
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連結智慧 守護世界 --- Connected Intelligence for Securing a Connected World