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Sr. Software Development Engineer, AWS Discounts

职能工程
级别资深
地点Seattle, WA, United States
方式现场办公
类型全职
发布2周前
立即申请
  • The AWS Bill Generation – Discounts team is at the heart of how AWS rewards customer loyalty and drives long-term infrastructure commitments. We own and operate the billing systems that compute all discount-based derived line items for AWS customers worldwide — including Usage Based Discounts (UBD), Private Rate Card discounts (Flat PRC and Tiered UBTD), Cross-Service Discounts (CSD), Prepayment Discounts (DV), and Volume discounts (VPA). Our discounts are applied at both the service level (Service Specific Discount

  • SSD) and at granular service attribute levels (Attribute Based Discount

  • ABD), and are delivered through both Out-of-Cycle (OCB) and Anniversary bills.
    We also own CBAS (Config-Based Billing Automation System) — a solution we built to operationalize our largest and most complex customer contracts — and are actively driving its migration to scalable, standard discounting infrastructure. Our work directly impacts AWS's ability to close enterprise deals, retain strategic customers, and scale discount programs without engineering bottlenecks.
    As a Senior Engineer on the Discounts team, you will tackle the complexity challenge at the intersection of enterprise contracts, pricing flexibility, and billing accuracy. You will contribute to our roadmap focused on:

  • Flexibility & Time to Market — Building configuration-based billing infrastructure (BCD) that decouples discount definition from execution, enabling new pricing constructs to go live in days rather than months, and enabling complex discounts for strategic AI partnerships like Anthropic and OpenAI

  • Architectural Simplification

  • Consolidating Bill Compute tasks, and eliminating manual bill generation SOPs through automation

  • Customer Delight — Improving discount transparency, standardizing benefit-sharing features across regions, and reducing customer contacts related to discount charges

  • Operational Sustainability — Reducing Sev2s, accelerating deployment cycles through CI/CD, and leveraging AI to enhance builder productivity

  • Key job responsibilities

  • Design and build distributed systems that apply discount logic at AWS scale — processing billions of usage events and generating discount line items across UBD, PRC, ABD, CSD, EDP, and other discount mechanisms

  • Build configuration-driven discount systems that allow sales, service, and finance teams to structure new discount constructs without requiring engineering changes

  • Enforce accuracy as a non-negotiable bar — every discount must be correctly applied, fully auditable, and traceable from contract terms to invoice line item

  • Partner with AWS sales, finance, and service teams (EC2, Marketplace, Bedrock, APN) to translate complex enterprise deal structures into scalable, durable billing constructs

  • Mentor engineers and raise the bar for code quality, operational excellence, and engineering rigor across the team

Basic Qualifications

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

  • 5+ 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
  • Experience building complex software systems that have been successfully delivered to customers
  • Knowledge of system performance, memory management, and parallel computing principles

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, WA, Seattle - 168,100.00 - 227,400.00 USD annually

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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

10条评价

3.4

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.0

职业发展

3.8

管理层

2.7

65%

推荐率

优点

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

薪资范围

4个数据点

L2

L6

L3

L4

L5

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试评价

6条评价

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 17%

负面 83%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge