(Sr.) Applied AI Backend Engineer

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 looking for talented backend engineers to help us build scalable, secure, and high-performance systems that power Trend Micro's next-generation platforms. You will work closely with other engineers, product managers, and stakeholders to design, build, and operate services that support internal and external users across various domains.

This is a great opportunity to make real impact by solving large-scale engineering problems, applying modern cloud and DevOps practices, and building backend services that are efficient, reliable, and easy to maintain.

What You'll Do
. Design and implement backend services and APIs for cloud-based platforms
. Work with containers, cloud infrastructure, and deployment pipelines
. Optimize performance and scalability for services processing large volumes of data
. Collaborate with cross-functional teams to deliver secure and reliable software
. Continuously improve system monitoring, alerting, and incident response
. Embrace DevOps practices and contribute to automation and CI/CD pipelines

. Leverage AI-assisted development tools to accelerate coding and improve code quality

Who You Are
. Proficient in at least one backend programming language (e.g., Python, Go, Java)
. Familiar with containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure)
. Experience in building APIs and microservices
. Comfortable with modern DevOps tools (Terraform, GitHub Actions, Jenkins, etc.)
. Knowledgeable about software testing, observability, and system performance
. Strong problem solver with good communication and a collaborative mindset
. Bachelor's degree in Computer Science, Engineering, or related field

Nice to Have
. Experience with event-driven or real-time systems
. Familiarity with data pipelines or large-scale data processing
. Exposure to cloud security concepts or IAM best practices
. Experience with AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot)

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