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ProServe Cloud Architect, Professional Services - Taiwan

Amazon - Taipei City, TWN

Posted May 4, 2026

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About this role

ProServe Cloud Architect, Professional Services - Taiwan Taipei City, TWN AWS Professional Services (ProServe) is seeking a talented and experienced Cloud Architect to join our team. As a ProServe Cloud Architect, you will work directly with customers to design, architect, and implement cloud solutions on Amazon Web Services (AWS). You will serve as a trusted technical advisor, helping customers accelerate their cloud adoption journey - from migration and modernization to building cloud-native applications and leveraging emerging technologies such as generative AI. Key job responsibilities Key Responsibilities - Solution Architecture & Design: Lead the design and implementation of scalable, secure, and cost-optimized cloud architectures tailored to customer business requirements and technical constraints. - Customer Engagement: Serve as the primary technical point of contact during ProServe engagements, building trusted relationships with customer stakeholders ranging from developers to C-suite executives. - Cloud Migration & Modernization: Architect and execute cloud migration strategies (rehost, replatform, refactor) for complex enterprise workloads, including legacy and mainframe modernization initiatives. - Best Practices & Well-Architected Reviews: Conduct AWS Well-Architected Framework reviews and provide actionable recommendations to improve customers' cloud environments across reliability, security, performance, cost optimization, operational excellence, and sustainability pillars. - Technical Delivery: Lead the delivery of ProServe projects end-to-end, including defining technical scope, creating architecture artifacts, guiding implementation teams, and ensuring quality outcomes. - Innovation & Emerging Technologies: Advise customers on adopting emerging AWS services and technologies, including generative AI (Amazon Bedrock, Amazon SageMaker AI), serverless architectures, containers, and data analytics platforms. - Collaboration: Work closely with

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