Sr. Engineer (V1 Companion)

The Companion Team at TrendMicro is dedicated to enhancing the VisionOne AI application by leveraging advanced large language models like OpenAI and Claude. This role involves designing, implementing, and maintaining robust backend features for AI applications, collaborating with stakeholders, and driving automation. The engineer will architect and implement systems on cloud infrastructure, develop CI/CD pipelines, and ensure services are performant, secure, and scalable, contributing to efficient user experiences and strategic business objectives.

Must Have

• Act as a full-cycle developer by designing, implementing, and maintaining robust backend features for AI applications.
• Collaborate effectively with stakeholders to gather requirements, coordinate across teams, and address issues.
• Drive automation and enhance workflows by streamlining development, release processes, and system monitoring.
• Architect and implement systems on cloud infrastructure to efficiently manage and process large-scale data.
• Develop and maintain seamless CI/CD pipelines while adopting DevOps practices.
• Ensure backend services are performant, secure, and scalable by designing resilient cloud architectures and optimizing system operations.
• Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
• Proficiency in at least one programming language such as Java or Python.
• Experience with containerization technologies, including Docker, Kubernetes, or AWS EKS.
• Familiarity with cloud service solutions such as AWS, Azure, or GCP.
• Knowledge of CI/CD pipelines and agile software development practices with a DevOps culture.
• Experience in unit testing, component testing, and end-to-end testing methodologies.
• Effective English communication skills for collaboration with global teams.

Join Trend ‧ Join New Generation

Trend Micro - Global Cloud Security Leader / Asia's Largest Software Company / Business footprint across five continents / Trend Micro Global R&D Base in Taiwan

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Overview

The Companion Team is dedicated to advancing the TrendMicro VisionOne AI application Companion by harnessing cutting-edge large language models (LLMs) such as OpenAI and Claude. These technologies empower the creation of intelligent backend solutions that revolutionize AI-driven system capabilities. Through the seamless integration of these state-of-the-art tools, we strive to elevate VisionOne's functionality, delivering more efficient user experiences while aligning with strategic business objectives.

Responsibility

• Act as a full-cycle developer by designing, implementing, and maintaining robust backend features for AI applications that meet business goals with high quality.
• Collaborate effectively with stakeholders to gather requirements, coordinate across teams, and address issues with agility and precision.
• Drive automation and enhance workflows by streamlining development, release processes, and system monitoring to maximize productivity and reliability.
• Architect and implement systems on cloud infrastructure to efficiently manage and process large-scale data.
• Develop and maintain seamless CI/CD pipelines while adopting DevOps practices to improve system availability and team productivity.
• Ensure backend services are performant, secure, and scalable by designing resilient cloud architectures and optimizing system operations.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or a related fields.
• Proficiency in at least one programming language such as Java or Python.
• Experience with containerization technologies, including Docker, Kubernetes, or AWS EKS.
• Familiarity with cloud service solutions such as AWS, Azure, or GCP.
• Knowledge of CI/CD pipelines and agile software development practices with a DevOps culture.
• Experience in unit testing, component testing, and end-to-end testing methodologies.
• Strong problem-solving skills, proactive attitude, and ability to work independently.
• Effective English communication skills for collaboration with global teams.
• Familiarity with tools for software build and deployment, such as Terraform, GitHub Actions, Jenkins, AWS CodeDeploy, or Azure DevOps.
• Hands-on experience with service monitoring and alert tools like Grafana or Prometheus.

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