Senior Principal Engineer , AWS Billing

Amazon is hiring a Senior Principal Engineer , AWS Billing for a remote role open to applicants in United States. It pays $264k-$350k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
The posting lists this role as remote.
Tools and skills the posting cites include AWS, AI agents and distributed systems.
Level lists 21,000+ other open roles at Amazon.
The role was posted within the past week.

AI in this role

Senior Principal Engineer needed to define the multi-year technical strategy for AWS Billing, supporting modern distributed systems and generative AI.

aws

ai-agentsdistributed-systemssystem-architecturereal-time-processinggenerative-aitechnical-strategy

How cloud customers experience billing — from the pricing they see, to the costs they manage, to the bills they pay — is foundational to how they trust and grow with AWS. Today, that experience is ready for a transformation: one that brings the commercial simplicity of amazon.com to the cloud, in near real-time, across every customer segment. Are you ready to define the technical strategy that makes that possible?

About the Team

AWS Billing is responsible for processing all AWS revenue — computing millions of bills daily and reliably handling billions of usage records per second across every AWS service, customer, and partner worldwide. Our systems ensure that financial data is fully auditable, accurate, and timely, while simultaneously adapting to evolving pricing models, contract structures, and regulatory environments.

We are at an inflection point. Small customers need pricing simplicity, cost predictability, and real-time visibility into their usage — so they can use AWS without fear of surprise costs. Large enterprise and government customers need commercial flexibility, configurable pricing, and democratized cost management. New opportunities are emerging to externalize our billing and pricing capabilities as a platform, and to support new pricing models that give AWS the commercial agility required to stay competitive. Increasingly, the systems we build will also need to serve autonomous agents interacting with billing, pricing, and cost data in fundamentally different ways than humans do today. These challenges are not met well by any cloud provider today, so there is a lot to invent.

Key job responsibilities

Define and own the multi-year technical strategy for billing architecture, partnering with engineering leaders and scientists across the organization to guide the next generation of billing systems — more composable, more adaptable, and built to evolve at the velocity the business requires.
Drive architectural decisions that span multiple organizations across AWS service teams, Marketplace, Sales, and Finance, ensuring alignment on how billing systems transform from batch-oriented financial processing into a real-time platform.
Provide technical guidance across billing and commerce teams, increasing productivity and effectiveness through deep knowledge of distributed systems, real-time processing, enterprise architecture, and generative AI technology.
Ensure the quality of architecture and design across billing systems by decomposing complex problems into straightforward, scalable solutions, with a focus on performance optimization and engineering practices that enable systems to scale seamlessly.
Mentor engineers and the broader community on advanced distributed systems challenges, helping develop technical talent across billing engineering teams while maintaining a pragmatic focus on business outcomes.

A day in the life
You will balance understanding the nuances of how customers — from startups to the world's largest enterprises — interact with AWS billing and cost management, while shaping the architectural vision that makes those experiences seamless. On any given day, you may lead a design review for a next-generation pricing engine, align with partner teams on integration patterns for a new AWS service launch, or work hands-on with engineers to prototype a real-time billing pipeline. You will navigate competing stakeholder priorities while maintaining a high bar for accuracy, performance, operational resilience, and system efficiency. You will also play a key role in shaping how the engineering organization leverages AI to accelerate development, testing, and delivery across the billing platform.

Basic qualifications

Bachelor's degree in Computer Science, Engineering, or a related field
15+ years of non-internship professional software development experience
Experience designing, building, and operating large-scale distributed systems in a multi-tiered, service-oriented environment
Experience defining and driving multi-year technical strategy across multiple engineering teams

Preferred qualifications

Master's degree or Ph.D. in Computer Science, Engineering, or a related field
Experience with high-volume data processing systems, real-time computation, or financial/billing systems at scale
Experience modeling complex pricing, contractual, or regulatory business rules in software
Familiarity with generative AI technologies and their application to software development workflows
Experience influencing technical direction across organizational boundaries without direct authority

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 - 264,100.00 - 350,000.00 USD annually
USA, WA, Seattle - 240,100.00 - 324,800.00 USD annually

How we rate this

Senior Principal Engineer , AWS Billing at Amazon rates 30 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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.

Key facts

Senior Principal Engineer , AWS Billing is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $264k-$350k a year.
The role is based in US, WA, Seattle and is marked remote.
The job was posted on October 29, 2026.
Seniority: executive.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsDistributed SystemsSystem ArchitectureReal Time ProcessingGenerative AITechnical StrategyAWS

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How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where distributed systems was part of your work. What did you do?
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Tell me about a project where real time processing was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?

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List these exact terms on your resume: AI agents, Distributed Systems, System Architecture, Real Time Processing, and Generative AI. An applicant tracking system matches the wording, not the idea.
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