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
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[Overview]
TrendAI Vision One is a platform that includes Cyber Risk Exposure Management, Security Operations, and many other security solutions. It applies the most effective AI and expert analytics to the activity data collected from its native sensors in the environment to produce fewer, higher-fidelity alerts. Global threat intelligence from the Trend Micro Smart Protection Network™, combined with expert detection rules continually updated from our threat experts, maximizes the power of AI and analytical models in unparalleled ways.
Network Security is one of the critical security solutions on the TrendAI Vision One platform. Network Security empowers organizations with full visibility and control over network sensors. By seamlessly integrating with the Vision One platform, it delivers proactive, real-time protection against evolving network threats.
[Responsibility]
Work closely with stakeholders for requirements discussion, cross-team integration, and troubleshooting.
As a full-cycle developer, take ownership of feature delivery from planning, design, implementation, testing, deployment, and operations.
Design and evolve microservice APIs (REST, GraphQL, WebSocket) and async message-driven workflows.
Automate and continuously improve development, testing, and release processes.
[Requirement]
BS in CS/CE or related field and/or equivalent industry experience.
3+ years of Python (Flask) or Java (Spring Boot) backend development and cloud microservice design.
Experience with AWS services: EKS, MSK, S3, STS, Secrets Manager, ECR.
Solid experience with Trino, MySQL, and Redis
Experience with Kafka and RabbitMQ for async, event-driven architecture.
Experience with Kubernetes, Helm chart authoring, Istio service mesh, and Docker multi-stage builds.
Experience with CI/CD pipelines (GitHub Actions) and cloud-native secrets management (Azure Key Vault, AWS Secrets Manager).
Integrate AI tools (e.g., GitHub Copilot, Claude Code) throughout the development lifecycle—from spec writing and test generation to code review and debugging—rather than using them as occasional shortcuts.
Critically evaluate AI-generated output before adoption, maintaining the same engineering standards as handwritten code.
[Plus]
ETL pipeline development (PyArrow, Airflow/MWAA).
Familiar with GraphQL API design.
Experience with KEDA (Kubernetes Event-Driven Autoscaling) for queue-based workload scaling.
Familiar with observability tooling: Prometheus and Grafana.
Experience with Terraform for Infrastructure as Code.
Familiar with gRPC service design and Protobuf.
Experience with end-to-end testing frameworks such as Robot Framework.
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連結智慧 守護世界 --- Connected Intelligence for Securing a Connected World