Specialist Solution Architect, Developer Transformation

Amazon Amazon · Big Tech · Seoul, South Korea · Solutions Architect

Solution Architect role focused on helping developers adopt modern cloud-native application development practices, leveraging AI-driven tools and AWS services. The role involves customer engagement, content creation, and enabling developer communities to accelerate the design, development, and deployment of production-quality cloud-native workloads.

What you'd actually do

  1. Be an active member of the AWS Solution Architecture team by engaging in on-to-one and one-to-many application architecture and development discussions and workshops with developers, software engineers, enterprise/solution architects and CTOs
  2. Accelerating adoption of AWS in the student, startup and professional developer communities by engaging through conferences, startup events, meetups, user groups and hackathons
  3. Help lead the direction for AWS developer events to make them best-in-class from a developer’s perspective, representing AWS through speaking, doing live demos and interacting with attendees
  4. Creating technical content such as reference applications, starter kits and patterns and practical guidance that will get developers excited about the potential of AWS as a development platform
  5. Contributing to a library of highly-reusable developer-focused artefacts such as demonstrations, sample code, blog posts, tutorials, and other modes of technical enablement

Skills

Required

  • Experience working directly in customer implementations
  • 7+ years of design/implementation/operations/consulting with distributed applications experience
  • passion for software development, application architecture and technology in general
  • desire to work with, educate and inspire a community of developers

Nice to have

  • Knowledge of software development tools and methodologies
  • Experience in technology/software sales, pre-sales, or consulting
  • Experience with AWS technologies
  • Hands-on experience with a selection of programming languages, tools and frameworks (e.g. C++, Go, Java, JavaScript, .NET, Node.js, Python, Ruby, Rust)
  • cloud-centric technology domains such as Serverless, Containers, Big Data, Analytics, Machine Learning, high-performance databases (SQL and NoSQL), complex networking implementations, and highly secured workloads

What the JD emphasized

  • AI-driven tools
  • AI-native tools