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Software Development Engineer, AWS Contract Onboarding

Amazon is hiring a Software Development Engineer, AWS Contract Onboarding in New York, United States. It pays $158k-$214k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a mid-level role.
  • Level lists 20,000+ other open roles at Amazon.
  • The role was posted in the last few days.

AI in this role

Are you excited to build with GenAI at the center of how you work? The AWS Contract Onboarding team is looking for a Software Development Engineer to build automated audit and control systems that protect billions of dollars in AWS revenue - embracing Prompt Driven Development and LLM-powered tooling to solve problems faster and turn manual, error-prone contract operations into reliable automation.

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 the audit, controls-validation, and workflow-automation systems that ensure human-managed private pricing agreements are accurate, compliant, and efficient at global scale. GenAI is core to how we build: you'll practice Prompt Driven Development to accelerate design, implementation, and problem-solving.
In this role, you will…

• Design and build automated audit capabilities that detect discrepancies across contract data, discounts, and billing outcomes.
• Build controls-validation systems that enforce correctness and compliance across the contract lifecycle.
• Automate manual operational flows to reduce risk, toil, and processing time.
• Own and operate distributed systems processing confidential contractual and financial data under demanding SLAs.
• Build event-driven architectures using AWS services (Lambda, Step Functions, SQS, DynamoDB).
• Apply GenAI and Prompt Driven Development to accelerate how you design, build, and ship software
• Collaborate with Product Managers and partner engineering teams to define scope and technical direction.
• Write high-quality, testable code in multiple languages including 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 use Prompt Driven Development to rapidly prototype a new automated audit for a particular contract type, generate an LLM-assisted validation guardrail, debug a distributed event-processing issue, or deep-dive into audit results to root-cause a discrepancy before it impacts a customer. GenAI is part of your everyday toolkit - you'll lean on it to move faster and raise the bar on what you ship. We move fast, own what we build, and measure our impact in errors prevented and hours automated.

About the team
Our team builds software that ensures accuracy, efficiency, and risk mitigation across the human-managed private pricing contract lifecycle. We enable comprehensive automated audits, controls-validation systems, and operational-flow automation that safeguard how AWS's largest customers are billed. We're an early and enthusiastic adopter of GenAI to reimagine what was previously manual, error-prone contract operations as fast, reliable, automated systems.

Basic qualifications

- 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
- 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 3+ years of server-side development experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

Preferred qualifications

- 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, NY, New York - 158,100.00 - 213,800.00 USD annually

How we rate this

Software Development Engineer, AWS Contract Onboarding at Amazon rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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Pay

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