Software Development Engineer, Catalog System Services - SPCL

Amazon; Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon seeks a Software Development Engineer II for the SPCL team in Seattle to design and build scalable services that improve variation data quality for billions of products. You will work on algorithms ensuring consistent variation attributes across marketplaces and develop GenAI solutions to enhance product discovery for customers.

You will write high-quality Java and Python, participate in architectural decisions, and mentor junior engineers while aligning with product managers to

Qualifications

• 1+ year of non-internship professional software development experience.
• Experience programming with Java and/or Python.
• Bachelor's degree in computer science or equivalent.

Responsibilities

• Design and develop scalable services that measure, validate, and improve variation quality across billions of products.
• Implement algorithms to ensure consistency in variation attributes across global marketplaces.
• Build GenAI solutions using Large Language Models to evaluate and enhance variation quality.
• Create robust feedback mechanisms for continuous improvement of variation data.
• Develop tooling and APIs to help Selling Partners address product variation quality issues.
• Collaborate with cross-functional teams to improve customer discovery experiences.

Skills

Java

Python

Education

Bachelor's degree in Computer Science or equivalent

Job description

Software Development Engineer, Catalog System Services - SPCL

Job ID: 10539357 | Amazon.com Services LLC

As a Software Development Engineer II in the SPCL (Selling Partner Close Looping) team, you will design and build innovative solutions that enhance how millions of customers discover and shop for related products across Amazon's global marketplaces. Working with billions of product variation relationships (sizes, colors, styles), you'll leverage cloud computing, machine learning, and Large Language Models to ensure variation data quality and consistency. Your work will directly impact customer shopping experiences, making it easier for them to navigate between product variants and find the right version of a product that meets their needs.

Key job responsibilities

• * Design and develop scalable services that measure, validate, and improve variation relationship quality across billions of products
• * Implement sophisticated algorithms to ensure consistency in variation theme attributes (size, color, style) across all global marketplaces
• * Build innovative GenAI solutions using Large Language Models to automatically evaluate and enhance variation quality
• * Create robust feedback mechanisms that enable continuous improvement of variation data
• * Develop tooling and APIs that help Selling Partners address product variation quality issues
• * Collaborate with cross-functional teams to implement solutions that enhance customer discovery experiences
• * Participate in architectural decisions that balance performance, cost, and customer experience

A day in the life

• * Write and review high-quality, well-tested code in languages such as Java and Python
• * Collaborate with team members on design documents and architectural decisions
• * Analyze data to identify variation quality issues and measure improvement impact
• * Attend daily stand-ups and participate in sprint planning/retrospective meetings
• * Work with product managers to scope and prioritize new features
• * Debug and resolve production issues while maintaining service reliability
• * Monitor system performance and optimize for scale and efficiency
• * Stay current with latest ML/AI technologies and evaluate their potential application
• * Mentor junior engineers and provide technical guidance

About the team

The SPCL team sits within Amazon's Catalog Systems division and is responsible for ensuring customers can easily navigate between related product options. We build systems at massive scale, processing billions of product relationships that power shopping experiences across all Amazon marketplaces. Our team maintains a high bar for operational and software engineering excellence while fostering a collaborative and supportive culture. We work closely with data scientists, product managers, and business stakeholders to continually improve the quality of variations in Amazon's catalog, directly enhancing the customer shopping journey.

Basic Qualifications

• - 1+ years of non-internship professional software development experience
• - Experience programming with at least one software programming language

Preferred Qualifications

• - 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 - 143,700.00 - 194,400.00 USD annually