Software Development Engineer II, AWS Invoicing

AWS is expanding into more markets around the world than ever before and the bottleneck is not customer demand it is launch speed. Our mission is to make every new market launch faster more reliable and ultimately automatic building the next-generation automation platforms that fundamentally change how quickly AWS can reach customers in new countries.

Our platforms are powered by generative AI large language models knowledge graphs and agentic architectures that dynamically compose specialized agents based on context. We apply these capabilities across three reinforcing areas: intelligent launch readiness where autonomous AI agents analyze generate and validate the information needed to go live in a new market; cloud-native service orchestration where configuration-driven microservices replace per-launch bespoke engineering with centralized reusable capabilities so that expanding into a new country becomes a zero-code configuration change rather than a development cycle; and continuous validation where self-healing autonomous workflows manage the full validation lifecycle from planning through execution to intelligent failure diagnosis.

These three platforms feed into each other the generative AI layer drives the orchestration layer and the validation framework validates both creating a closed-loop feedback system that improves accuracy and reliability with every launch. Together they compress what has historically been a multi-month launch process into a matter of weeks.

We are looking for engineers who can help us build the platforms and tooling that will scale AWSs global expansion by an order of magnitude with a growing backlog of market launches and a committed pipeline ahead.

In this role you will:

Design and build agentic AI systems that analyze generate and validate launch information across multiple countries enabling domain experts to review in hours what previously took weeks.
Build agentic architectures that compose specialized AI agents dynamically enabling rapid iteration without code deployments and continuous learning from expert feedback.
Architect configuration-driven pipelines so that launching a new market requires a config change not a development cycle.
Partner with engineers across service teams to make integration points configurable and testable by design creating one-time investments that pay off on every subsequent launch.
Build AI-driven continuous validation frameworks powered by agentic workflows and large language models that autonomously manage the full validation lifecycle.
Collaborate with cross-functional stakeholders to close the feedback loop between AI-generated output and domain expertise.
Youre a good fit if you:

Have built or contributed to AI/ML systems in production agentic workflows LLM pipelines knowledge graphs or retrieval-augmented generation and know the difference between a demo and a system experts trust.
Think in systems how configuration propagates across services how validation maps to launch readiness and how failures surface to the right team.
Are comfortable with ambiguity making architectural decisions with incomplete information and iterating based on real results.
Write clean testable code and care about operational excellence on systems that sit on the critical path of AWSs global expansion.
Prefer partnering with another team to solve a problem at the source over building a workaround on your side.
Want measurable impact we track launch velocity automation coverage accuracy and defect reduction.
What makes this team different:

Every launch you accelerate opens a new market for AWS.
Youll work across a state-of-the-art AI-powered platform that spans launch readiness service orchestration and continuous validation not just one slice.
We build AI systems that experts use daily and measure success by whether they trust the output enough to stop doing it manually.
Youll spend real time understanding adjacent systems and codebases not just calling their APIs.

Inclusive Team Culture
Here at AWS we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups reaching 40000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences. Amazons culture of inclusion is reinforced within our 14 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.

Work/Life Balance
Our team puts a high value on work-live balance. It isnt about how many hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. This position involves on-call responsibilities typically for one week every two months. We dont like getting paged in the middle of the night or on the weekend so we work to ensure that our systems are fault tolerant. When we do get paged we work together to resolve the root cause so that we dont get paged for the same issue twice.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

- We own the mission-critical data aggregation layer powering AWS Billing Console.

- We work on impactful projects that have org-level visibility.

- We solve challenging scaling and performance problems.

- We use cutting-edge AWS technologies and implement all best practices.


- Excellent work-life balance and sustainable operational load.


- 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

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent

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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 143700.00 - 194400.00 USD annually