Delivery Consultant - Cloud Architect , Professional Services - Taiwan

About the Role AWS Professional Services is looking for a talented Cloud Infrastructure & Application Development Consultant to join our growing team in Taiwan. In this role, you will work hands-on with customers across Semiconductors, Hi-Tech, Manufacturing, Public Sector, and Financial Services (FSI) to design, build, and deploy cloud-native infrastructure and modern applications on AWS. You will be embedded with customer teams, driving technical delivery of cloud migration, modernization, and greenfield application development projects. This is a delivery-focused role where you will write code, build infrastructure, and directly enable customers to operate confidently on AWS.

Key job responsibilities Key Responsibilities

Design and implement cloud infrastructure solutions including networking, compute, storage, and security architectures on AWS for enterprise customers Develop cloud-native applications and modernize legacy workloads using containers (ECS/EKS), serverless (Lambda), and microservices patterns Build and maintain infrastructure-as-code (IaC) using tools such as AWS CloudFormation, Terraform, or AWS CDK Implement CI/CD pipelines, automated testing, and DevOps best practices to accelerate customer delivery Collaborate with customer engineering teams to migrate and refactor applications for the cloud, ensuring operational excellence and cost optimization Contribute to technical documentation, runbooks, and knowledge transfer to enable customers to operate independently post-engagement Participate in internal communities of practice, sharing learnings and reusable patterns across the ProServe team

About the team About the team AWS Professional Services works with enterprise customers and partners to help them realize their desired business outcomes through cloud adoption. Our team assists customers in achieving the greatest value from AWS by providing guidance, best practices, and hands-on delivery support throughout their cloud journey.

Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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• 5+ years of experience in software development, cloud infrastructure engineering, or DevOps, with hands-on delivery of production workloads
• 3+ years of experience working with AWS (or equivalent cloud platform), including services such as EC2, VPC, S3, RDS, Lambda, ECS/EKS, and IAM
• Proficiency in at least one modern programming language (e.g., Python, Java, TypeScript, Go) and experience with infrastructure-as-code tools (CloudFormation, Terraform, or CDK)
• Demonstrated experience building CI/CD pipelines, container-based architectures, and automated deployment workflows in enterprise environments
• Strong written and verbal communication skills; fluency in Mandarin Chinese and English is required
• AWS certifications such as AWS Solutions Architect – Associate/Professional, AWS Developer – Associate, or AWS DevOps Engineer – Professional
• Experience delivering cloud projects in one or more of the following industries: Semiconductors, Hi-Tech/Electronics, Manufacturing, Public Sector, or Financial Services
• Hands-on experience with Kubernetes (EKS), service mesh, observability tools (CloudWatch, X-Ray, Prometheus/Grafana), and operational automation
• Familiarity with industry-specific workloads such as EDA tools, HPC batch processing, IoT/OT data pipelines, or financial transaction systems
• Experience working in a consulting or professional services environment with direct customer-facing delivery responsibilities
• Knowledge of security best practices, compliance frameworks, and data residency requirements relevant to Taiwan's regulatory environment (e.g., FSC, government security classifications)
• Experience with database migration/modernization (e.g., Oracle to Aurora/PostgreSQL, Teradata to Redshift) or application refactoring from monolith to microservices

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