Software Development Engineer, Automated Profitability Management

Amazon • Seattle, WA

13d

About The Position

The Automated Profitability Management (APM) team is working to reimagine how
Amazon Retail manages profitability by combining Machine Learning and Software
Engineering. We're building systems that help streamline negotiations with
thousands of suppliers around the world — work that touches millions of products
across many countries.

In the past, this work meant retail business teams would connect directly with
suppliers to discuss and refine the terms of our partnerships. Today, we're
scaling that effort across tens of thousands of suppliers, tens of millions of
products, and dozens of countries — all while the business continues to grow
rapidly. We're evolving retail profitability management from an art into a
science, and we're looking for a talented Software Development Engineer to help
us build the technology that powers this transformation.

An ideal candidate will partner with Product Managers and Applied Scientists to
understand business context, translate business needs into technical solutions,
and design distributed systems, ML-driven automation tools, and scalable APIs
that support profitability decisions across Amazon's global retail operations.
This is a role where you'll have meaningful ownership and the opportunity to see
your work make a real difference to the business.

At Automated Profitability Management (APM), we take pride in being a diverse
team, and provide opportunity to demonstrate unique strength that each of us
bring to the table. We are a high performing team and give importance to
work-life-balance and career growth.
We collaborate with several key teams across Retail world (SCOT, EconTech, etc.)
on a day-to-day basis. Our customers are retail vendors, vendor managers and
retail page customers.

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language

Nice To Haves

• 3+ 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
• Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM), or experience in defining and creating benchmarks for assessing GenAI model performance
• Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

Responsibilities

• Drive delivery of high-impact changes that meaningfully improve customer experience and business outcomes at scale
• Champion engineering excellence across the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operational best practices
• Demonstrate exceptional debugging, troubleshooting, and problem-solving skills to resolve complex technical challenges with speed and precision
• Design and build robust distributed systems and enterprise-scale architectures that meet demanding reliability and performance requirements
• Partner cross-functionally with teams to define, align on, and deliver strategic technical initiatives
• Invest in the growth of junior engineers through mentorship, technical guidance, and hands-on coaching — raising the overall effectiveness and productivity of the team

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level