Software Development Engineer
About the Job
The Marketing Tech and Science team helps customers discover and engage with new, popular and relevant products across Amazon worldwide. We do this by combining technology, science, and innovation to build new customer-facing features and experiences alongside cutting edge tools for marketers. You will be responsible for creating and building critical services that automatically generate, target, and optimize Amazon’s cross-category marketing and merchandising. Through the enablement of intelligent marketing campaigns that leverage machine-learning models, you will help to deliver the best possible shopping experience for Amazon’s customers all over the globe.
As a software engineer on the team, you will have the opportunity to design features for and experiment on hundreds of millions of customers all across the globe. Our experimentation centers on Machine Learning enhancements to product advertisement and marketing. The team focuses on feature development that helps vend the most relevant products to customers at any point in their shopping journey. We believe in regular feature develop and frequent experimentation, allowing us to continuously improve the customer experience. You will have the opportunity to explore the many channels Amazon provides for customer outreach and engagement, both onsite and offsite. As a new team, we carry little tech debt. We prioritize writing high quality and maintainable code, and build systems that leverage existing tools to provide extensive test coverage across our services. Amazon’s retail business is well established within the company, the Fabric team is unique in its nascency within the organization. The team provides a great opportunity to make an outsized impact in a burgeoning space on fresh or even yet to be built services. If you are passionate about large-scale systems and the cutting-edge in customer engagement and marketing, our team is the right place for you.
As a member of our software engineering team you can expect to:
· Solve problems which require novel solutions in low-latency systems
· Solve problems that center around scale, across all realms, over hundreds of millions of customers
· Write high quality, maintainable code
· Perform peer code-reviews and contribute to technical designs
· Integrate and collaborate with applied science experts specialized in machine learning recommendation models
· Think outside the box when it comes to innovating for the customer. Our team is looking for fresh ideas to engage with customers across both internal and external mediums
· Learn and grow from a talented group of individuals within our team and within our sister teams
· Mentor new members as we continue to add to our footprint and scope
This opportunity is suited for highly motivated and talented software engineers who want to apply and grow their technical depth and breadth at scale. If you have an entrepreneurial spirit, know how to deliver, are deeply technical, highly innovative and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you. This position is located in San Diego, California - America’s finest city. There’s no shortage of beautiful beaches and nature to explore in the area, with culinary choices from all over the world. San Diego’s temperate weather and relaxed culture make for an idyllic work environment. The tech community is well established and growing rapidly, with Amazon’s commitment to the area through organizational expansion and hiring.
BASIC QUALIFICATIONS1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
2+ years of non-internship professional software development experience
Bachelor’s degree in Computer Science or related field, or equivalent knowledge and skills and industry experience.
3+ years of commercial software development experience in at least one modern language such as Java/Kotlin, C++, or C# including object-oriented design
Experience influencing software engineering best practices within your team, including design reviews, coding standards, code reviews, source control management, build processes, testing, and operations
PREFERRED QUALIFICATIONSExperience developing high quality, large scale consumer applications
Experience with Relational and No SQL Databases
Experience with machine learning and feedback loops
Experience driving operational improvements
Experience working with cross-functional teams including communicating with other technical teams, product management, and senior management
Experience mentoring junior software engineers to improve code quality