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臺北市, 臺灣
Onsite
AI is driving a transformative shift across industries, and as a global cybersecurity leader, Trend Micro is at the forefront of this evolution—integrating AI to ensure the secure exchange of digital information. We look for individuals with strong technical expertise and a forward-thinking mindset who leverage AI to challenge the status quo and build impactful solutions. By adopting AI-powered development workflows, we empower our engineers to deliver reliable, high-quality, and scalable products with greater velocity.
The objective of TrendLife is to deliver the best security, privacy, and anti-scam solutions for the consumer market, using our decades of experience to protect millions of individual users worldwide. Everyone has the opportunity to join different teams and share their knowledge and passion, contributing to real results for our customers.
As a (Sr.) Applied AI Backend Engineer, you will lead the end-to-end delivery of high-quality software solutions while spearheading our transition toward an AI Development Lifecycle (AIDLC). You will deeply integrate AI-enabled tools, agents, and workflows into every phase of development. This role involves close collaboration with architects, project managers, developers, QA, and UI designers to develop products that satisfy customer needs, solve their problems, and achieve customer success.
Responsibilities
Leverage AI-assisted development tools (e.g., Claude Code, MCP servers, Gemini…) to boost development speed, enhance code quality, and accelerate prototyping.
Review AI-generated code for security and architectural fit, while driving safe AI workflows across the team.
Collaborate closely with stakeholders on requirement discussions, cross-team integration, and issue resolution.
Deliver features through the full development lifecycle, including planning, design, implementation, testing, deployment, and operation.
Create and execute test cases and scripts to validate software functionality, performance, reliability, and security.
Troubleshoot and debug complex issues by identifying root causes and implementing effective solutions.
Automate and enhance development and release processes to improve efficiency and reliability.
Requirements
Bachelor’s degree in computer science, engineering, or equivalent industry experience.
Demonstrated success in adopting an AI development lifecycle (AIDLC) to scale engineering output while upholding strict quality and architectural guidelines.
Familiarity with one of the cloud service solutions using AWS, Azure and GCP.
Familiarity with one of the programming languages (e.g. Golang, Python, Java, Node.js, C#)
Familiarity with microservice architectures and REST API development
Familiarity with development relational or NoSQL databases, (e.g. PostgreSQL, MySQL and Redis)
Familiarity with containerization (Docker/K8S) or production EKS cluster operations.
Nice-to-Have
Experience in Infrastructure-as-Code (IaC) tools (e.g., Terraform, CloudFormation)
Experience in monitoring, alerting, and log visualization tools (e.g. Elasticsearch and Kibana)
Experience in version control systems (e.g. Git) and CI/CD processes (e.g. GitHub Action)
Experience in one of the testing frameworks (e.g. Selenium, pytest and Robot Framework)
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
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