Software Development Engineer, Data and AI Tech Team
Department:
Job Summary
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 CMHKs 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. Youll work at the intersection of large-scale data engineering and production agentic AI.
As AWS CMHKs technology and business needs evolve rapidly were 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 wed 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve.
- 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
- Bachelors 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
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Required Experience:
IC
About Company
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