Description

Do you want to own the latest technology, solve new problems, and have the ability to see the impact of your successes?

Amazon is growing, and we need SDEs who move fast, are capable of breaking down and solving difficult problems, and have a strong will to get things done. SDEs at Amazon work on real-world problems on a global scale, own their systems end to end, and build technology that impacts hundreds of millions of customers around the world.

The AI Authoring team builds tools and agents that help service teams create, update, and validate AWS documentation used by millions of builders. As an SDE on the team, you'll own features from working backwards with customers through design, implementation, deployment, and operations, using AWS services for serverless compute, data, and GenAI. You'll work in a fast-moving space where practical, maintainable solutions matter more than novelty. We're looking for an engineer who delivers high-quality code, uses sound judgment, communicates designs clearly in writing, stays close to the customers they build for, and has hands-on experience with AI development tools.

Key job responsibilities
- Design and deliver AI-powered features for AWS documentation authoring, from working backwards with customers through deployment and operations.
- Write high-quality, well-tested code that meets the Amazon Code Bar, using AI coding tools with judgment and owning the result.
- Build evaluations and guardrails that measure and improve the accuracy of AI-generated content.
- Measure whether the features you ship improve documentation quality and authoring speed for service teams.
- Design solutions to difficult problems, seeking guidance to align with the team's long-term architecture.
- Balance new feature work against operational excellence, and eliminate the root causes of failures.
- Document how your software is built, tested, operated, and secured, and train new team members on it.
- Give meaningful code-review feedback and mentor engineers on your team.
- Evaluate emerging GenAI approaches and recommend which ones the team should adopt.

A day in the life
You'll design and build features, write code with unit and integration tests, and review your teammates' designs and code. You'll take part in on-call, finding and fixing the root causes of issues, and you'll refactor and improve the systems you work on. You'll work with product managers and service teams to understand customer needs, contribute to team planning, and help new team members get up to speed. You'll break problems into smaller pieces and deliver incrementally. You'll use AI development tools every day and help the team learn where they work well and where they don't.

About the team
TCX Engineering builds customer-facing experiences to deliver technical documentation for AWS. We innovate, research, experiment, and collaborate with product managers to understand our customers' needs. We partner with AWS service teams to learn the inner workings of their services so that we can influence design and the customer experience. We are a catalyst in the successful adoption and implementation of AWS services. Within TCX Engineering, the AI Authoring team applies GenAI to the authoring workflow itself, helping service teams produce accurate documentation faster.