Sr. Cloud Software Engineer (Vision One XDR Search Data Lake)

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趓勢科技 - 全球雲端资安領航者 / 全亞洲最大軟體公司 / 企業版地橫跨五大洲 / 趓勢全球研發基地在台灣 
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Overview

The XDR capabilities of Trend Micro’s Vision One platform provide context-aware of the investigation, recording, and reporting of system-level activities. It collects detailed activity data from kernel mode, user mode, and/or native system events across multiple security layers, including endpoint, servers, cloud workloads, email, and networks.

Search Data Lake plays as one key component to process hundreds of billions of activity data collected from Trend Micro Endpoint products per day and collect detection logs from different TrendMicro products. We also provide solutions for internal applications to efficiently discover the potentially infected endpoints

Requirement

• 3+ years of experience in developing web applications by using microservice architecture with RESTful API interface design.

• Familiarity with developing cloud service solutions using AWS, Azure, or GCP.

• Strong programming experience in Python or any script language.

• Experience in unit testing, component testing and end-to-end testing, etc.

• Experience in development with relational or NoSQL databases, such as PostgreSQL, MySQL, Redis, Dynamo, or ElasticSearch.

• Experience in CI/CD and agile software development with a DevOps culture and mindset.

Personality

• Good teamwork and problem-solving skills.

• Aggressive working attitude.

• Willing to take challenges and take actions with agility.

• Staying with the newest technologies.

Responsibility

• Work closely with stakeholders for requirement discussion, cross-team
  integration and troubleshooting.

• As a full-cycle developer responsible for delivery of features from planning,
  design, implement, test, deploy and operate.

• Automate and improve development and release processes.

Big Plus

• Experience in cloud service architecture design from scratch, especially with serverless technologies.

• Experience in software build and deployments, such as Terraform, GitHub Actions, Jenkins, AWS CodeDeploy, or Azure DevOps.

• Experience in service monitoring and alert tools, like Grafana or Kibana.

• Experience with containerization technologies, e.g., Docker, Kubernetes, or AWS ECS

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