About The Position

Are you interested in building a greenfield product opportunity within Amazon Advertising? Do you want to have direct and immediate impact on millions of customers every day? If you're a self-starter who enjoys designing large-scale distributed and orchestration systems and are intrigued by ambiguous problems, this is a unique opportunity to build a new initiative from scratch alongside some of the best full-stack engineers at Amazon. We pioneer the use of AI-driven full-stack technologies at Amazon scale. Join us today and transform how advertisers run performance campaigns on their first-party data. In this role, you will develop products primarily using Java for backend and React/JavaScript for frontend, leveraging persistence technologies like DynamoDB, MongoDB (CloudDB), Elasticsearch, and a suite of AWS products for ML pipelines—including Comprehend, SageMaker, and S3/EMR/Glue/QuickSight for Python-powered data pipelines and analytics for big data analysis. As an AI-first engineering team, you are encouraged to pair program with state-of-the-art models and tools such as Kiro and Cline. This is an opportunity to think big and create engaging experiences with real-world applications of agentic AI to solve business problems that delight our customers. You'll have the flexibility to solve problems across frontend, backend, and machine learning applications, collaborating with diverse teams skilled in big data and engineering. This large initiative spans multiple existing and emerging engineering and product teams within the Advertising organization. You are enthusiastic about helping in defining our products, shaping ambiguous business goals into working software solutions. You are comfortable taking initiative and working across teams in a relatively unstructured environment. You have well-honed, insightful architectural design instincts, and enjoy building simple and elegant systems that will scale to support millions of users. Passion for the customer and their experience with our products is a key requirement for you. Our team is responsible for full-stack implementation and integration of new advertising products, which power the ad measurement of online and offline ad conversions. This is an opportunity to get in on the ground floor and help shape our advertising technologies, products and business. Our products enable advertisers to bring their first-party data into amazon eco system, helping advertisers adapt to new trends and consumer behaviors, ultimately ensuring their campaigns continue to resonate with the right audience.

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

Responsibilities

  • develop products primarily using Java for backend and React/JavaScript for frontend
  • leveraging persistence technologies like DynamoDB, MongoDB (CloudDB), Elasticsearch, and a suite of AWS products for ML pipelines—including Comprehend, SageMaker, and S3/EMR/Glue/QuickSight for Python-powered data pipelines and analytics for big data analysis
  • solve problems across frontend, backend, and machine learning applications
  • helping in defining our products, shaping ambiguous business goals into working software solutions
  • building simple and elegant systems that will scale to support millions of users

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
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