jobapplier

(Sr.) Applied AI Backend Engineer

Trendmicro

About Trendmicro

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

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.

The objective of TW Engineering Group 1 is to deliver the best endpoint security solutions that help commercial customers face cybersecurity challenges effectively.

We are dedicated to protecting businesses of all sizes—from small and medium-sized companies to large enterprises—so they can operate securely and confidently in today’s digital world.

By harnessing the power of AI, we aim to create innovative solutions that solve real-world problems and keep all of our customers safe.

Everyone in Group 1 has the opportunity to join different teams and share their knowledge and passion, contributing to real results for our customers.

Along this journey, we look for people who not only bring strong technical skills but also a forward-thinking mindset—those who can leverage AI technology to challenge the status quo, enhance productivity, and build innovative solutions that truly make a difference.

We believe in adopting AI-powered development workflows to help our engineers produce more reliable, and high-quality programs, and create scalable products faster.

This helps us learn from our customers and build solutions that truly make a difference.

Responsibilities

  • Leverage AI-native development tools (e.g., Claude Code, GitHub Copilot, Cursor) across every stage of the development lifecycle to deliver stable, high-quality output efficiently.
  • 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.
  • Familiarity with AI-native development tools (e.g., Claude Code, GitHub Copilot, Cursor) and maintaining consistent AI configurations.
  • Established a repeatable AI-native development workflow across every stage of the development lifecycle.
  • Familiarity with context engineering practices and leveraging or building agent tools (e.g., AI Agent Skills, MCP servers).
  • Familiarity with one of the programming languages (e.g. Golang, Python, Java, Node.js, C#)
  • Familiarity with one of the testing frameworks (e.g. Selenium, pytest and Robot Framework).

Familiarity with microservice architectures and REST API development

  • 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)

Preferred

  • Experience driving measurable team-level improvements through AI workflow standardization.
  • Experience leveraging AI to redefine product capabilities and deliver measurable business impact.
  • Experience in developing cloud service solutions using AWS, Azure, or GCP.

Experience in container solution (e.g., Docker/K8S)

  • 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 test management platforms (e.g.TestRail)

  • Able to visualize design and test logic to improve test coverage and catch edge cases.
  • Passionate about AI and eager to share knowledge.
  • Embraces experimentation and continuous learning in a fast-evolving AI landscape.
  • 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

Culture Fit

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