Software Dev Engineer III, Amazon Advertising Creative X

Amazon Advertising • Santa Monica, CA

3d

About The Position

Amazon Advertising is one of Amazon's fastest-growing and most profitable businesses. We operate at the intersection of eCommerce and advertising, creating innovative products that help customers discover what they want to buy. Our advertising solutions help brands reach millions of customers on Amazon's own sites and apps, as well as on millions of TV, tablet, and mobile devices and other high-quality websites. Our goal is to help advertisers grow their businesses by starting with the customer and working backward. We deliver billions of ad impressions and millions of clicks every day, constantly innovating to meet the evolving needs of our customers. If you're interested in leading a world-class team with a relentless focus on the customer, you've come to the right place! Key job responsibilities Key job responsibilities: As a Software Development Engineer on our team, you'll be a key leader in designing and building solutions that deliver an optimal customer experience. Architect and own the technical strategy for critical features and services, making high-impact decisions that influence multiple teams. Lead the design and implementation of scalable, complex distributed systems that handle millions of requests. Mentor junior engineers and champion engineering best practices, including code quality, testing automation, and operational excellence. Drive end-to-end machine learning projects from concept to deployment, navigating high levels of ambiguity and complexity. Develop automated processes for large-scale data pipelines, model development, and serving (MLOps). Proactively identify and improve team processes, seeking opportunities to increase efficiency, collaboration, and productivity. Collaborate with product and technical leaders to define roadmaps and deliver solutions that align with business goals. Partner with cross-functional teams across Amazon Advertising to build integrated solutions. Leverage the latest ML and code generators (such as Kiro) to optimize the software development lifecycle, including design, automated testing, and documentation. A day in the life A typical day as a Software Development Engineer on our team is a dynamic blend of deep technical work and collaborative problem-solving. It might start with a deep dive into a new ML development project, where you're prototyping a new model or optimizing an existing one. You might then transition to designing and building a scalable data pipeline to support a new feature, ensuring data quality and efficiency from source to serving. A significant part of your day is dedicated to ensuring operational excellence, which includes automating our ML Ops processes and participating in code deployments to bring your innovations to production. You'll actively engage in software testing, whether writing unit tests, running integration tests, or reviewing code to ensure the reliability and security of our systems. Throughout it all, you're constantly collaborating with cross-functional partners to define technical roadmaps, mentor junior engineers, and improve team processes. Your day is ultimately defined by a relentless focus on delivering a seamless, high-quality solution that directly impacts our customers' experience on a massive scale. About the team Our team within the Creative X organization is focused on creating an engaging user experience through content and interactivity enrichment, while helping advertisers reach their target audience at scale.

Requirements

• 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
• 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
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• Experience building complex software systems that have been successfully delivered to customers
• Demonstrated success collaborating with Data Scientists/Applied Scientists to productionize, deploy, and own high-scale Machine Learning and sophisticated Generative/Agentic AI systems. This includes advanced experience in MLOps (e.g., automated model training/retraining pipelines, A/B testing frameworks, monitoring/observability of model drift and performance) and a proven track record of increasing engineering efficiency by designing and implementing core components of multi-step Agentic AI architectures and proactively utilizing the latest AI-assisted tools (e.g., code generation, task agents) in the software development lifecycle.

Responsibilities

• Architect and own the technical strategy for critical features and services, making high-impact decisions that influence multiple teams.
• Lead the design and implementation of scalable, complex distributed systems that handle millions of requests.
• Mentor junior engineers and champion engineering best practices, including code quality, testing automation, and operational excellence.
• Drive end-to-end machine learning projects from concept to deployment, navigating high levels of ambiguity and complexity.
• Develop automated processes for large-scale data pipelines, model development, and serving (MLOps).
• Proactively identify and improve team processes, seeking opportunities to increase efficiency, collaboration, and productivity.
• Collaborate with product and technical leaders to define roadmaps and deliver solutions that align with business goals.
• Partner with cross-functional teams across Amazon Advertising to build integrated solutions.
• Leverage the latest ML and code generators (such as Kiro) to optimize the software development lifecycle, including design, automated testing, and documentation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees