Software Development Engineer III, Unified Intelligent Matching Systems (UIMS)

Amazon; Sunnyvale (CA); On-site; USD 193,300 - 261,500; Full time

Job summary

Amazon Sunnyvale is seeking a Software Development Engineer III for the Unified Intelligent Matching Systems team (UIMS). You will own end-to-end architecture and delivery of large-scale distributed systems with AI/ML-powered product matching capabilities, shaping the world’s best product catalog and customer experience.

You’ll design systems handling billions of transactions, collaborate across teams, and translate high level goals into robust production systems that scale with Amazon’s needs.

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 of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team

Responsibilities

• Owning end-to-end design, implementation, and operational excellence for complex features spanning multiple services and teams
• Leading architecture decisions for large-scale systems handling hundreds of millions of transactions daily with AI/ML components
• Navigating technical and organizational ambiguity; translating vague requirements into implementable solutions under tight schedules
• Designing systems from scratch in fast-evolving domains; integrating with Amazon's established ecosystem including LLM deployments, agentic systems, and workflow optimization pipelines
• Building and optimizing inference infrastructure for multimodal models at scale, including embedding-based systems, and cascaded inference architectures
• Driving change across teams through technical influence, unblocking others and establishing architectural consistency across engineering and science workstreams
• Mentoring junior and mid-level engineers; providing meaningful feedback through code reviews and technical guidance
• Communicating effectively across multiple stakeholders; making strategic trade-offs balancing velocity with long-term system health
• Partnering closely with Applied Scientists to translate ML research into production systems that process billions of records

Skills

Distributed systems

AI/ML fundamentals

Mentor/leadership

Senior software development

Education

Bachelor's degree in computer science or equivalent

Job description

Software Development Engineer III, Unified Intelligent Matching Systems (UIMS)

Job ID: 10450950 | Amazon.com Services LLC

The PRISM (Product Identity and Semantic Matching) team in WW Amazon Stores is looking for a passionate and talented Senior Software Development Engineer with deep expertise in building large-scale distributed systems and AI/ML-powered applications to help build the world's best product catalog. In this role, you will own end-to-end architecture and delivery of systems that establish product identity and enable high-fidelity product matching and product relationship at Amazon scale. You will work in a collaborative environment where you can design and build systems that process 1B+ daily transactions, leverage AI/ML solutions, and directly impact every Amazon customer's shopping experience.

An information-rich and accurate product catalog is a strategic asset for Amazon. PRISM builds the canonical product identity and matching system that powers Amazon's universal catalog—eliminating duplicates, preventing abuse, and enabling seamless integration of the world's product data to power shopping experiences and trusted discovery for customers worldwide. This problem is challenging due to sheer scale (billions of products in the catalog), diversity (products ranging from electronics to groceries to instant video across multiple languages), multitude of input sources (millions of sellers contributing product data with different quality), and varied relationship types.

This role combines deep technical leadership with the ability to influence across organizational boundaries, making strategic architectural decisions while maintaining the highest standards for reliability and scalability. Successful candidates are passionate about translating high-level, ambiguous business goals into software solutions that enable multiple businesses and are comfortable taking initiative alongside top-notch software developers and scientists.

Key job responsibilities

• Owning end-to-end design, implementation, and operational excellence for complex features spanning multiple services and teams
• Leading architecture decisions for large-scale systems handling hundreds of millions of transactions daily with AI/ML components
• Navigating technical and organizational ambiguity; translating vague requirements into implementable solutions under tight schedules
• Designing systems from scratch in fast-evolving domains; integrating with Amazon's established ecosystem including LLM deployments, agentic systems, and workflow optimization pipelines
• Building and optimizing inference infrastructure for multimodal models at scale, including embedding-based systems, and cascaded inference architectures
• Driving change across teams through technical influence, unblocking others and establishing architectural consistency across engineering and science workstreams
• Mentoring junior and mid-level engineers; providing meaningful feedback through code reviews and technical guidance
• Communicating effectively across multiple stakeholders; making strategic trade-offs balancing velocity with long-term system health
• Partnering closely with Applied Scientists to translate ML research into production systems that process billions of records

About the team The PRISM (Product Identity and Semantic Matching) team has a mission to advance state-of-the-art GenAI to deeply understand and uniquely identify every product at Amazon scale. We build the canonical product identity and matching system that powers Amazon's universal catalog—eliminating duplicates, preventing abuse, and enabling seamless integration of the world's product data to power shopping experiences and trusted discovery for customers worldwide. We push the boundaries of advanced ML, multimodal LLMs, and generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our e-commerce business. We solve foundational challenges including schema-agnostic multi-modal understanding, efficient inference at order-of-magnitude cost reduction, and rapid innovation through automated experimentation powered by agentic systems.

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
• - Experience building complex software systems that have been successfully delivered to customers, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
• - 6+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
• - Experience working in catalog, identity, or matching problem domains

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 .

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
• - Experience building complex software systems that have been successfully delivered to customers, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
• - 6+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
• - Experience working in catalog, identity, or matching problem domains

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, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.