About The Position

Amazon Web Services (AWS) is seeking a Software Development Engineer to join a team focused on building contract intelligence and automation platforms for AWS's global sales operations. This platform serves as the single source of truth for executed contract data across various AWS business groups. The role involves designing and building AI-powered agents using Amazon Bedrock to process contract documents, extract structured data, and automate contract onboarding and post-contract operations. Additionally, the engineer will develop MCP (Model Context Protocol) servers to expose contract intelligence to AI agents and applications throughout AWS. This work aims to significantly reduce manual processing hours and enable scalable contract operations without increasing headcount. The position involves full-stack application development utilizing technologies such as React, TypeScript, Java, AWS CDK, Lambda, DynamoDB, and Step Functions. It is a high-ownership role within a small team, offering visibility for contributions from day one and requiring end-to-end ownership of problems in a fast-paced environment. The team focuses on transforming manual, expert-driven workflows into reliable, scalable automation using generative AI.

Requirements

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software programming language

Nice To Haves

  • Experience with agentic AI patterns, prompt engineering, or document extraction
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent

Responsibilities

  • Design and build AI-powered agents using Amazon Bedrock that process contract documents, extract structured data, and automate operational workflows
  • Build MCP (Model Context Protocol) servers that expose backend intelligence to AI agents and applications
  • Design, develop, and deploy full-stack applications using React, TypeScript, Java, AWS CDK, Lambda, DynamoDB, and Step Functions
  • Own features end-to-end from technical design through deployment, including writing design documents and leading technical discussions
  • Build and improve automation that replaces manual, repetitive operational processes with scalable, AI-driven solutions
  • Collaborate with product managers, analysts, and operations teams to translate business requirements into technical solutions
  • Participate in code reviews, mentor team members, and contribute to engineering best practices
  • Support production systems through on-call rotation and proactive monitoring improvements

Benefits

  • sign-on payments
  • restricted stock units (RSUs)
  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • Work-life harmony/flexibility
  • Inclusive Team Culture (employee-led affinity groups, Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences)
  • Mentorship and Career Growth (knowledge-sharing, mentorship and other career-advancing resources)
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