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Software Development Engineer, AWS Onboarding

Job in New York City, Richmond County, New York, USA
Listing for: Amazon
Contract position
Listed on 2026-09-06
Job specializations:
  • Software Development
    AWS, Cloud Engineer - Software, Backend Developer
Job Description & How to Apply Below
Position: Software Development Engineer, AWS Contract Onboarding

Software Development Engineer

Are you passionate about applying AI and compilation techniques to automate legal contract processing at AWS scale? The AWS Contract Onboarding team is looking for a Software Development Engineer to build systems that parse, interpret, and ingest Private Pricing Agreements - enabling AWS to bill customers accurately and sign contracts faster. You'll work with LLMs, distributed event pipelines, and customer-facing consoles processing billions of dollars in AWS revenue.

Key job responsibilities:

  • 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 Type Script.
  • Build highly available, secure systems at Amazon scale.
  • Mentor and support the growth of other developers.

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.

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