Software Engineer II, EngageTech

Amazon

Amazon

Software Engineering
Las Vegas, NV, USA
Posted on Jul 9, 2025

DESCRIPTION

Zappos is looking for a highly-skilled and experienced Software Development Engineer II to help drive technical decisions and implementations for our EngageTech Engineering Team. You will play a crucial role in designing, developing, and maintaining our software solutions. Your deep expertise in Java technologies and Amazon Web Services (AWS) will be instrumental in driving the success of our projects.

You will be working with a unique and gifted team developing new, exciting products. You will collaborate closely with product managers, software engineers and UX designers. You should be comfortable collaborating in a fast-paced and often uncertain environment, and contributing to innovative solutions, while demonstrating leadership and meticulousness.

We have a relentless focus to shape the experience to be fun and intuitive for Zappos customers. Our most valuable attributes are the people that make up the team. We embrace Amazon leadership principles so you should apply if you are not afraid to create a little fun and weirdness! We value diversity and want to make our team as inclusive as possible. We do this by building strong relationships through open and honest communication. We value people that are not afraid to take risks and quickly learn from mistakes.

Key job responsibilities
Design, develop, and implement complex software applications using Java, with focus on Spring and related frameworks.

Collaborate closely with engineers, product managers, cross-functional, and UX teams to gather requirements, design architecture, and deliver high-quality software solutions that meet business needs.

Effectively develop and maintain Java based applications utilizing AWS based services (Lambda/ECS/SNS/SQS/S3/DynamoDB/Redshift).

Utilize your extensive experience in AWS services to architect, deploy, and manage scalable and reliable cloud-based solutions.

Experience with or strong interest in Machine Learning and Generative AI technologies is highly valued.

Optimize application performance, identify bottlenecks, and propose and implement effective solutions.

Ensure code quality through code reviews, automated testing, and best practices in software engineering.

Stay current with industry trends, emerging technologies, and best practices to continuously enhance the development process and architecture.