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.

Sr. Engineer (SPN intelligence)