Who we serve is also changing. The experience was designed for a person clicking through a console, and it is increasingly driven by agents that run continuously, ask in bulk, and need to know not only what we recommend but why. We treat that as a build mandate rather than a buzzword. You would help redesign the optimization experience around generative AI: opening the platform to agents through MCP and agent-friendly contracts, carrying enough provenance with every recommendation that an agent can justify an action to the human accountable for it, supporting multi-step and batch work instead of one question at a time, modernizing authentication for machine-to-machine scale, and making the system behave under continuous, bursty, non-human load. You would use the same tools on your own work. Agents are already part of how this team builds and operates, and we would want you pushing that further.
If you like owning a broadly used API surface, care about the difference between a recommendation that is technically correct and one that earns a customer's trust, and want your work to show up as real dollars off real bills, come talk to us.
Key job responsibilities
Own the public API surface customers, partners, and other AWS services depend on to enroll, retrieve recommendations, export data, and express how they want their environment optimized, including the cross-account and organization-wide access model behind it.
Design for agents as first-class consumers: programmatic and MCP access, bulk and multi-step operations, machine-to-machine authentication, and capacity and throttling behavior that holds up under continuous automated load.
Extend the platform to AI and accelerated compute spend, including the question of what optimal even means for workloads whose usage patterns look nothing like a traditional server fleet.
Make recommendations explainable and self-diagnosable, so that customers and support teams can answer why a recommendation says what it says, or why it is missing, without an engineer in the loop.
Raise the operational bar: how we monitor, test, deploy, and expand across Regions and partitions, and how much of the recurring operational load we can automate away instead of absorbing.
Grow the engineers around you. Review designs, mentor, and write the documents that build consensus with stakeholders across organizations.
Work directly with product managers and with the teams building on your APIs to decide what to build, proactively identify what is blocking the team and what the platform will need as usage grows, before either becomes a constraint.
A day in the life
You might spend the morning in a design review arguing whether a new capability belongs in the public API, then pair with an engineer on failure handling in a cross-account delivery path, then dig into a signal that says customers are enrolling but encountering issues in the optimization journey, then point an agent at your own API to find out how badly it reads to a non-human caller. Some weeks are heads-down implementation. Some weeks are writing the document that decides the next six months.
About the team
AWS Insights and Optimizations is a group of engineers who like problems that sit between large-scale data processing and customer-facing APIs, and we are unusually close to the outcome of our work, because we can measure it in savings customers actually realized. We are among the more fastest-moving adopters of generative AI in AWS cloud financial management, in the product and in how we build and operate it. We care about operational excellence, we write things down, and we would rather have the hard architectural conversation early than live with the shortcut for three years. The charter is expanding and there is real room to shape it.
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
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 and operating public, customer-facing APIs, including versioning and backward compatibility over a long service life
Experience with multi-tenant systems and the authorization, isolation, and quota problems that come with them
Experience building agent-facing or LLM-integrated systems, for example MCP servers, tool and function interfaces, or retrieval over structured data
Experience with large-scale data processing, indexing, or search systems behind a customer-facing product
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
