Amazon.com Inc logo

Software Development Engineer, AWS, AWS Field Exp - BPO Tech

Amazon.com Inc

  • Seattle, WA
  • 1 day ago
    Want to know if you’re a fit?
    Upload your resume and let our AI show you.

    Skills

    • AWS Lambdaunmatched
    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Automationunmatched
    • Best Practicesunmatched
    • Cloud Computingunmatched
    • Code Reviewsunmatched
    • Contract Processingunmatched
    • Design Documentunmatched
    • Develop and Maintain Customersunmatched
    • Distributed Computingunmatched
    • Governmentunmatched
    • International Salesunmatched
    • Javaunmatched
    • MCP - Microsoft Certified Professionalunmatched
    • Marketingunmatched
    • Mentoringunmatched
    • Modeling Languagesunmatched
    • On Callunmatched
    • Onboardingunmatched
    • Operational Auditunmatched
    • Operations Processesunmatched
    • Production Supportunmatched
    • Production Systemsunmatched
    • React.jsunmatched
    • Requirements Managementunmatched
    • Salesunmatched
    • Sales Operationsunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Startupunmatched
    • Structured Dataunmatched
    • Technical Leadershipunmatched
    • Technical/Engineering Designunmatched
    • User Interface Designunmatched

    Description

    Amazon Web Services (AWS) is looking for a Software Development Engineer to join a team that builds contract intelligence and automation platforms for AWS"s global sales operations. The platform processes contracts across multiple AWS business groups, serving as the single source of truth for executed contract data.

    You will design and build AI-powered agents using Amazon Bedrock that read contract documents, extract structured data, and automate contract onboarding and post-contract operations. You will also build MCP (Model Context Protocol) servers that expose contract intelligence to AI agents and applications across AWS. Your work will directly reduce tens of thousands of manual processing hours and enable AWS to scale contract operations without scaling headcount. You will contribute to

    full-stack application development working with React, TypeScript, Java, AWS CDK, Lambda, DynamoDB, and Step Functions.

    This is a small, high-ownership team where your contributions are visible from day one. You will work across the full stack, from building LLM-powered extraction agents to designing React UIs to deploying infrastructure as code. The team turns manual, expert-driven workflows into reliable, scalable automation using generative AI.

    A strong candidate enjoys building distributed systems on AWS, has interest or experience in AI/ML and large language models, and thrives in a fast-paced environment where they own problems end-to-end. Experience with agentic AI patterns, prompt engineering, or document extraction is a plus but not required.

    Key job responsibilities

    In this role, you will:

    • 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

    A day in the life

    Your primary focus is building AI agents that automate contract operations across AWS. You might start the morning reviewing how an agent performed on a batch of contracts, then adjust its extraction logic based on analyst feedback. After standup, you pick up an MCP server endpoint that lets other teams query contract data through their own AI applications. In the afternoon,

    you join a design discussion to automate a workflow that currently takes 15 minutes per contract. Some days you"re deep in React, other days writing CDK or debugging why an agent misread a PDF. The team is small enough that your ideas ship.

    About the team

    Diverse Experiences

    Amazon 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, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

    Why AWS

    Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

    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, there's nothing we can't achieve in the cloud.

    Inclusive Team Culture

    Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

    Mentorship and Career Growth

    We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

    AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

    Numbers & Facts

    LocationSeattle, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

    Similar Jobs

    See more jobs