Software Development Engineer II, Consumables Science Team

Technology is revolutionizing how we shop for everyday essentials! Are you interested in disrupting and redefining the way customers purchase online Are you interested in using the latest advances in machine learning bigdata technologies and LLMs to build online customer experiences for everyday essential products that can equal or even surpass an instore experience Amazon Consumables Science Team is reinventing the shopping experience for all customers across the largest selection of essential products to become the most trusted destination for everyday needs. The category is unique in retail with its vast customer base and products that are fundamental to daily life from beauty and personal care to groceries and pet supplies. This is your chance to get in on the ground floor to build something entirely new and transform how people shop for their essential needs! To achieve our vision we think big and tackle technological challenges every day. We need builders and disruptors who are not afraid to innovate! Our architecture and development processes support rapid experimentation global deployments and selfservice capabilities that allow us to scale better.

We build:

* Amazon scale systems: All our technology needs to work at Amazon scale serving millions of customers with millisecondlevel latency.
* Personalization using machine learning: We use latest advances in ML and GenAI to provide betterpersonalized shopping experiences.
* Data & analytics pipelines: Robust data backbone and seamless ML pipelines is necessary for our systems to function smoothly at scale. We use the latest and greatest advances in AWS Technologies data lakes ML Engineering (RAGs vector searches lang chain SageMaker Studio) and automation frameworks to build services and pipelines that can be deployed to production rapidly.



Key job responsibilities
* Work closely with senior engineers product managers and business stakeholders to design and implement highly available backend services;
* Convert a problem statement and requirements into a scalable and extendible design along with tasks;
* Write quality code as part of implementing aforementioned designs and deliver them in time;
* Develop personalized recommendation systems that help customers find the right beauty products based on their needs and preferences;
* Understand complex application data flows and bridge the gap between technical and business app requirement;
* Share expert knowledge in performance large scale distributed system scalability system architecture and engineering best practices;

About the team
We are a passionate group of engineers scientists product managers and designers who drive technological innovation to improve the customer shopping experience. We have a startuplike work culture where innovation is encouraged; we are never afraid to propose big ideas for fear of failing!

3 years of noninternship professional software development experience
2 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
A willingness to dive deep experiment rapidly and get things done

3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Experience with AWS technologies (S3 EC2 Lambda DynamoDB RDS CloudWatch ElasticSearch etc.);
Experience designing and/or implementing automated software testing deployment and performance analysis systems;
Experience writing testable code and automating test regressions;
Experience communicating technical problems to both technical and business audiences verbally and in writing;
Experience using Machine Learning and Generative AI to solve complex customer problems and create innovative personalized shopping experiences that enhance customer satisfaction and decisionmaking;

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

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary for this position ranges from $114800/year up to $191800/year. Salary is based on a number of factors and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. Applicants should apply via our internal or external career site.