趨勢科技 TrendMicro

Who We Are The Content Security team is at the forefront of protecting our users and products through advanced email and web content security solutions. We process and analyze a massive scale of data - billions of data points - which forms the core of many of our security capabilities. Beyond building and maintaining highly scalable web services, our team actively researches and anticipates emerging threats within email and web content, striving to be one step ahead of attackers. To ensure optimal performance and continuous improvement, we adhere to DevOps principles and agile development methodologies, emphasizing resilience, security, and ease of maintenance. Who We Want We are seeking a collaborative and adaptable team player with a positive attitude towards challenges. The ideal candidate demonstrates a commitment to continuous learning and quickly assimilates new information. Furthermore, you are proactive in managing existing systems and infrastructure, and possess a strong desire to optimize and improve systems through architectural enhancements and code refactoring. What You’ll Do In this role as a Cloud Backend DevOps Engineer, you will play a key role in managing existing cloud services, ensuring their continuous availability and performance. This includes proactively managing service updates, identifying areas for improvement or consolidation, and resolving any issues that may impact stability. Additionally, you will develop and optimize CI/CD pipelines, applying automation and infrastructure-as-code (IaC) to ensure a resilient and highly available system.

Who We Are The Content Security team is at the forefront of protecting our users and products through advanced email and web content security solutions. We process and analyze a massive scale of data - billions of data points - which forms the core of many of our security capabilities. Beyond building and maintaining highly scalable web services, our team actively researches and anticipates emerging threats within email and web content, striving to be one step ahead of attackers. To ensure optimal performance and continuous improvement, we adhere to DevOps principles and agile development methodologies, emphasizing resilience, security, and ease of maintenance. Who We Want We are seeking a collaborative and adaptable team player with a positive attitude towards challenges. The ideal candidate demonstrates a commitment to continuous learning and quickly assimilates new information. Furthermore, you are proactive in managing existing systems and infrastructure, and possess a strong desire to optimize and improve systems through architectural enhancements and code refactoring. What You’ll Do In this role as a Cloud Backend DevOps Engineer, you will play a key role in managing existing cloud services, ensuring their continuous availability and performance. This includes proactively managing service updates, identifying areas for improvement or consolidation, and resolving any issues that may impact stability. Additionally, you will develop and optimize CI/CD pipelines, applying automation and infrastructure-as-code (IaC) to ensure a resilient and highly available system.

[Our Team] We are a forward-thinking team focused on generative AI applications, hyperautomation, digital employee and customer experiences, and consumer support technology. Our mission is to leverage the power of AI and automation to transform digital interactions, optimize business processes, and enhance overall user satisfaction. By integrating innovative AI solutions with existing systems, we aim to drive business growth, empower employees, and deliver exceptional customer experiences. We are looking for passionate AI engineers to join us in creating intelligent, data-driven solutions that make a tangible impact. [Key for Success] Understanding business objectives and utilizing AI models to make business decisions and develop strategies.Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction.Bring new ideas into the team.Propose and develop POCs based on your or the team's ideas.Stay current with AI trends and suggest improvements to existing systems and workflows [Responsibilities] Build and maintain Generative AI applications and infrastructure.Manage the data flow and infrastructure for effective AI deployment.Collaborate across teams to align AI initiatives with organizational goals.Develop machine learning models and AI solutions.Test, deploy, and maintain AI systems.Collaborate with data scientists and other engineers to integrate AI into broader system architectures.