Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
Key job responsibilities
As a Software Development Engineer on our team, you'll be responsible tackling challenging problems supported by massive amounts of data using the latest advances in technology alongside the best and brightest software engineers and scientists in the world. You'll solve hard problems that drive material impacts by designing, delivering, and operating mission critical, high scale services that handle billions of requests on a daily basis.
Key responsibilities:
* Design, develop, and maintain scalable, high-performance software systems.
* Build and maintain infrastructure for machine learning, model deployment and monitoring
* Implement and optimize algorithms for data processing and machine learning pipelines
* Work closely with data scientists and applied scientists to integrate their models and algorithms into production systems.
* Mentor developers and provide technical guidance to team members
A day in the life
A typical day in life on our team includes diving deep into problems and designing innovative and scalable solutions to solve them. The morning usually starts with team stand-up and code reviews, followed by hands-on development of scalable data pipelines, performing analysis. Throughout the day, they mentor developers, participate in design reviews, and optimize system architecture for performance. They regularly interface with product managers to align technical solutions with business needs, while ensuring the successful deployment and monitoring of machine learning models in production environments. The role requires a balance of technical expertise, leadership, and cross-functional collaboration.
