SDE II, Economic Decision Science

Amazon is hiring an SDE II, Economic Decision Science in London, United Kingdom. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include Bedrock and SageMaker.
Level classifies it as a mid-level role.
Level lists 21,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

bedrocksagemaker

Economic Decision Science is Amazon’s Central Economics team in Europe. Our goal is to improve outcomes for customers by optimizing and automating business decisions. We work at the intersection of Economics, Machine Learning, Statistics, and Data Engineering, a highly engaging space where ideas directly shape how our stores operate and evolve.

We are a high-impact, autonomous, cross-functional team (Economists / Engineers / Product Managers ) focusing on long-term, ambiguous and challenging problems. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. Our charter is company-wide, so we frequently collaborate with business, tech and science stakeholders across Europe and globally.

As an SDE, you’ll help us build our Factory of Economics, where economists can operate independently and in parallel, unconstrained by tech bottlenecks or engineering bandwidth. The goal: no software rewrites, predictable time to production, early integration, and fast iteration. You’ll work with tools such as DBT, Python, Apache Airflow, Spark, Iceberg; AWS services like Lambda, Bedrock, and SageMaker, containers, and whatever adds the most value. You’ll design tools that are simple, semantic, and scalable. As you gain familiarity with the domain, you’ll help define and lead the technical direction of economic projects.

Key job responsibilities
* Build and extend the Factory of Economics: automate and accelerate data pipelines, platforms, and tools, including ML and LLM capabilities, to scale innovative science products.
* Collaborate with economists to shape technical project requirements and direction.
* Be a technical leader that is not afraid to challenge the norms and innovate.
* Continually improve our systems and improve iteration speed, for yourself or others.
* Contribute to long-term strategy for data infrastructure, best practices, and operational excellence.
* Dive deep into our tools to make well-informed integration and architecture decisions.

About the team
* AWS resources at our disposal, with no red tape. We invest to add value. Fast.
* Zero-ops mindset. We build in a way we can focus on delivery, not maintenance.
* No on-call. No phone paging.
* Lean and pragmatic: No stand-ups or sprints; we work towards clear, business-aligned quarterly goals.
* Greenfield projects and a focus on simple solutions for complex domains.

Basic qualifications

- Experience (non-internship) in professional software development
- Experience in professional, non-internship software development
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design

Preferred qualifications

- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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.

How we rate this

SDE II, Economic Decision Science at Amazon rates 14 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

SDE II, Economic Decision Science is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in GB, London.
The job was posted on October 28, 2026.
Seniority: mid.
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

BedrockSageMaker

Also common in software engineer jobs at this level

Kubernetes TypeScript React Docker JavaScript Azure

Pay

Typical software engineer job: $167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

What's a project where you used Bedrock hands-on?
Walk me through how you've used SageMaker in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Bedrock and SageMaker. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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