AmazonPosted 6d ago

Senior Software Development Engineer, Amazon Selection and Catalog Systems (ASCS)

Senior Software Development Engineer, Amazon Selection and Catalog Systems (ASCS) at Amazon scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

US, WA, Seattleseniorfull-time$168k-$227k

AI in this role

Lead the design and delivery of distributed systems that integrate machine learning models for large-scale image and catalog data processing at Amazon.

pythoncawsml-inference

ai-agentsdistributed-systemsmachine-learning-integrationsystem-architecturesoftware-lifecycle

Amazon's supply chain catalog data covers product barcodes, package configuration, quantity, dimensions, expiration, and more, directly impacting operational efficiency across supply chain workflows. Today, catalog data defects create fulfillment challenges that drive hundreds of millions of dollars in operational costs and limit our ability to grow selection. Are you passionate about building software systems that operate at massive scale on the largest catalog on earth? We are seeking a Senior Software Development Engineer to lead the design, implementation, and delivery of systems that ingest high-fidelity physical product observations (images, OCR text, barcodes, dimensions, expiration) for millions of inventory units flowing daily through Fulfillment Centers, then leverage that data to improve catalog data quality. This initiative impacts multiple programs visible to Amazon senior leadership, reduces operational costs for Sellers and Fulfillment Centers, and drives revenue growth through expanded selection.

Key job responsibilities
Lead architecture of large-scale distributed systems that process hundreds of millions of transactions daily, owning design, implementation, and operation across the full software lifecycle.
Partner with Applied Scientists to translate ML research into production inference infrastructure that extracts product information from images at scale.
Define a multi-year technical roadmap, sequence delivery to balance near-term customer impact with long-term platform investment, and drive architectural consistency across engineering and science workstreams by influencing teams you depend on but do not directly control.
Establish measurable quality, reliability, scalability, and cost-efficiency standards so systems continue to perform as expected while scale grows.
Mentor engineers through hands-on code reviews, design reviews, and technical guidance. Influence product technical direction by articulating architectural trade-offs, tech debt, and their business impact to stakeholders and partners.

A day in the life
You might start the morning reviewing operational dashboards for your team's ingestion pipelines, then jump into a design review where you help engineers evaluate trade-offs for a new image-processing service. After lunch you pair with an Applied Scientist to prototype an integration between a new ML model and your production inference stack. Later, you draft a technical document outlining your recommended approach for an upcoming cross-team migration, preparing to align stakeholders across catalog and fulfillment systems. Your work balances hands-on coding with strategic guidance, keeping the team focused on delivering reliable, high-quality systems.

About the team
Amazon Selection and Catalog Systems (ASCS) builds and operates the world's largest e-commerce product catalog. We are the primary source for product, relationship, and offer data, and the accuracy of our catalog is foundational to everything Amazon does, from the detail page a customer sees to the fulfillment center that ships their order. We support hundreds of internal clients and businesses that contribute to the Amazon catalog.

Our team values inclusivity, transparency, and customer-centric problem solving. We continuously invest in scalable mechanisms, software systems, Generative AI models, and agentic workflows to sustainably meet evolving business demand. If you are excited about shaping technical strategy at catalog scale, this is the place to do it.

Basic qualifications

- 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

Preferred qualifications

- 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

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

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsDistributed SystemsMachine Learning IntegrationSystem ArchitectureSoftware LifecyclePythonCAws

Questions you could be asked

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?
Tell me about a project where machine learning integration was part of your work. What did you do?
Tell me about a project where system architecture was part of your work. What did you do?
Tell me about a project where software lifecycle was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Agents, Distributed Systems, Machine Learning Integration, System Architecture, and Software Lifecycle. 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.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

Want your resume actually rewritten for this job?

The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.