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Software Development Engineer, Data and AI Tech Team
Beijing, CHNPosted 2 days ago
Full-timeonsite
Job Description
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
The Data and AI Tech (DAT) team is part of the AWS China Technology organization, serving CMHK (China Mainland and Hong Kong). DAT builds the data foundation, agent platform, and agentic AI applications that power AWS CMHK's sales and business operations. We run a portfolio of data products and pipelines, and a growing set of agentic applications — all developed with an AI-native, spec-driven development (AIDLC) approach. You'll work at the intersection of large-scale data engineering and production agentic AI.
As AWS CMHK's technology and business needs evolve rapidly, we're hiring engineers who want to build autonomous agents that replace manual toil, ship tools that teams use daily, and deliver production services that move measurable business metrics. If that excites you, we'd love to talk.
Key job responsibilities
- Design, build, and operate production services and data pipelines across the DAT stack (agent platform, data products, business/sales tooling).
- Own features end-to-end — from spec and design through implementation, testing, deployment, and operations.
- Practice spec-driven, AI-native development: maintain system specs alongside code, and use agentic development workflows to ship faster.
- Collaborate with PM-Ts, data engineers, and business partners to turn requirements into reliable systems.
- Raise the operational bar — observability, data-quality safeguards, and incident response for the systems you own.
About the team
Diverse Experiences
AWS 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.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service,
- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of non-internship professional software development experience
- Experience programming with at least one software programming language
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Bachelor's degree in computer science or equivalent
- Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms
- Exposure to agentic AI / LLM application development (agents, MCP, evaluation harnesses) or strong interest in growing into it
- A bias for AI-native development — using AI coding tools and spec-driven workflows to amplify output
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The Data and AI Tech (DAT) team is part of the AWS China Technology organization, serving CMHK (China Mainland and Hong Kong). DAT builds the data foundation, agent platform, and agentic AI applications that power AWS CMHK's sales and business operations. We run a portfolio of data products and pipelines, and a growing set of agentic applications — all developed with an AI-native, spec-driven development (AIDLC) approach. You'll work at the intersection of large-scale data engineering and production agentic AI.
As AWS CMHK's technology and business needs evolve rapidly, we're hiring engineers who want to build autonomous agents that replace manual toil, ship tools that teams use daily, and deliver production services that move measurable business metrics. If that excites you, we'd love to talk.
Key job responsibilities
- Design, build, and operate production services and data pipelines across the DAT stack (agent platform, data products, business/sales tooling).
- Own features end-to-end — from spec and design through implementation, testing, deployment, and operations.
- Practice spec-driven, AI-native development: maintain system specs alongside code, and use agentic development workflows to ship faster.
- Collaborate with PM-Ts, data engineers, and business partners to turn requirements into reliable systems.
- Raise the operational bar — observability, data-quality safeguards, and incident response for the systems you own.
About the team
Diverse Experiences
AWS 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.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service,
- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of non-internship professional software development experience
- Experience programming with at least one software programming language
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Bachelor's degree in computer science or equivalent
- Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms
- Exposure to agentic AI / LLM application development (agents, MCP, evaluation harnesses) or strong interest in growing into it
- A bias for AI-native development — using AI coding tools and spec-driven workflows to amplify output
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.