Software Development Engineer, AWS Contract Onboarding
Key job responsibilities
As a Software Development Engineer, you will own all aspects of the software development lifecycle - design, architecture, implementation, testing, and operations. Your team builds systems to capture contractual data from AWS Private Pricing Agreements in electronic format, enabling automated billing at global scale.
In this role, you will…
- Design and build contract parsing and term extraction pipelines using AI/LLM techniques.
- Own and operate distributed systems processing confidential contractual data under demanding SLAs.
- Build event-driven architectures using AWS services (Lambda, Step Functions, SQS, DynamoDB).
- Collaborate with Product Managers and partner engineering teams to define scope and technical direction.
- Contribute to planning, design, implementation, testing, operations, and process improvement.
- Write high-quality, testable code in Java, Kotlin, Python, and TypeScript.
- Build highly available, secure systems at Amazon scale.
- Mentor and support the growth of other developers.
A day in the life
On a typical day, you might design an LLM extraction pipeline for a new contract type, debug a distributed event processing issue, review a teammate's architecture for a customer-facing API, or deep-dive into billing data to validate that automated discounts are applied correctly. You'll collaborate across and ship features that directly impact how AWS customers are billed. We move fast, own what we build, and measure our impact in contracts automated per day.
About the team
The Contract Onboarding team builds tools and services to auto-generate and auto-ingest AWS Private Pricing Agreements. We enable the AWS Billing organization to sign contracts faster, compute bills accurately, and apply customized discounts - enhancing the experience for AWS's largest customers. Our systems combine AI/LLM-powered contract parsing, distributed event processing, and customer-facing consoles to automate what was previously a manual, error-prone process.