(Sr.) Cloud Engineer (V1xSP) at Trend Micro in Taipei

(Sr.) Cloud Engineer (V1xSP)

Location: Taipei

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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

The V1xSP (VisionOne for Service Provider) platform is purpose-built for Partner business, providing a centralized marketplace where partners can sell and manage TrendAI™ products and services. xSP Business team is the team that brings products and processes together, playing an important role in business enablement of TrendAI™ products, channels, and partners. We build platforms to make all TrendAI™ products go to market easily, and make TrendAI™ channel partners do business in a friendly manner. You will participate in every aspect of TrendAI™ business process, product lifecycle, and business model with partners.

As a team member, you will be involved in the full lifecycle of service development and required to fully utilize a variety of tools and methodologies, including AI-powered development tools, to ensure the quality of service development, delivery, and operation. Innovation and continuous learning are at the core of this role.

Key Responsibilities

Technical Leadership

• Lead internal cross-team members for the Product Licensing Service group on multiple project deliveries to achieve business goals.

• Lead the design and implementation of a new-generation entitlement management system, including necessary cross-department and cross-country system integrations.

• A high level of comfort navigating ambiguity, and a keen sense of ownership to deliver results in an agile environment.

AI-Augmented Development

• Integrate AI tools (e.g., GitHub Copilot, Cursor, Claude Code) throughout the development lifecycle, from spec writing, test generation, code review, to debugging, rather than using them as occasional shortcuts.

• Critically evaluate AI-generated output before adoption, maintaining the same engineering standards as handwritten code, and guide the team to do the same.

• Establish and share effective AI workflows within the team, including prompt template libraries and project-specific AI configurations.

Product and Platform Development

• Lead and develop web applications in a full-stack manner for analysis and visualization for business stakeholders (Sales / SalesOps / Business Development).

• Lead data-oriented decision-making for the Product Licensing Service group, including roadmap development, business decisions, and data visualization strategies.

• Lead new technology solutions on the business side such as billing/invoicing, and deliver technical solutions using cloud platforms (AWS / Azure).

DevOps and Operations

• Work with a DevOps mindset: lead the team using DevOps tools to run services and respond in a timely manner.

• Automate and enhance development and release processes to improve efficiency and reliability.

• Participate across multiple teams in a leading role through agile development methodology.

Qualifications / Requirements

Technical Skills

• 3+ years of related work experience.

• Proficient in one or more of: C#, Python, Go, Node.js, with RESTful Web API development experience.

• Strong knowledge of cloud computing and industry trends; capable of leading cloud project development on AWS or Azure.

• Strong understanding of application security and secure software development lifecycle (SDLC).

• Experience designing and operating high-scalability, high-availability web services.

• Capable of leading database design and managing DB-related activities.

• Familiarity with microservice architectures and container solutions (Docker / K8s).

AI-Assisted Development Skills

• Hands-on experience with AI-native development tools (e.g., Cursor, GitHub Copilot, Claude Code) in real projects or side projects.

• Ability to provide effective context when working with AI, understanding that output quality depends on input quality (context engineering).

• Habit of critically reviewing AI-generated code rather than adopting it directly; able to lead the team in establishing this standard.

Nice to Have

• Experience with CI/CD automation tools (e.g., Jenkins, GitHub Actions).

• Experience with Infrastructure-as-Code (IaC) tools (e.g., Terraform, CloudFormation).

• Experience with monitoring, alerting, and log visualization tools (e.g., Elasticsearch, Kibana).

• Experience establishing consistent personal AI workflows (e.g., prompt template library, project-specific AI configuration).

• Familiarity with context engineering techniques to guide AI toward higher-quality outputs.

• Fluent English communication skills (spoken and written).

Culture Fit

• 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.

• Embraces DevOps culture: open to on-call rotation and flexible working hours adjustment.

• Fast learner, proactive, self-motivated, and a reliable team player.

• Excellent problem-solving skills, cross-team collaboration, and the ability to work independently.

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