This role has closed 3w ago. It is no longer on Amazon's board, so there is nothing left to apply to. The posting is kept here because you saved it or opened it; it is a record, not an offer.

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Amazon

Software Development Engineer II, Fulfillment Optimization, SCOT Fulfillment Optimization

Amazon · Software Development

Luxembourg

Mid-level

SoftwareAWSC++C# / .NETJavaLLM / GenAINLP

Last seen 3w ago

Posted
1mo ago

Posted on 19 August 2026

Workplace
Not specified

Work model not stated

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

This role has closed. It's kept as a record — see Amazon's open roles or the similar live roles below.

See Amazon's open roles

Join the Fulfillment Optimization (FO) organization within SCOT, where we improve customer experience and reduce cost by designing the fulfillment network, orchestrating resource planning, and optimizing order fulfillment at massive scale. As an SDE I on our team, you'll build and operate systems that directly impact how millions of packages reach customers — quickly, efficiently, and reliably.

Key job responsibilities

- Work on Tier 1 production services that power fulfillment at Amazon scale

- Build resiliency, stress testing, and chaos engineering capabilities for critical fulfillment systems

- Operate at the intersection of software engineering and supply chain optimization

- Collaborate with scientists, PMs, and engineers solving complex network-level optimization problems

- Develop, test, and deploy software components for fulfillment optimization systems using a native AWS stack

- Participate in on-call rotations and drive operational excellence for team-owned services

- Write clean, testable, and well-documented code

- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems

- Experience building complex software systems that have been successfully delivered to customers

- Experience debugging, profiling, and implementing best software engineering practices in large-scale systems

- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design

- 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

- Experience in machine learning, data mining, information retrieval, statistics or natural language processing

- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

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.

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.

About Amazon

Amazon hires more engineers in Europe than anyone else on this board, across Dublin, London, Berlin, Madrid, Luxembourg and Gdańsk. The breadth is the point: AWS infrastructure, retail systems, devices and logistics are very different jobs under one name, and team quality varies a lot between them. Worth filtering by role rather than browsing.