Software Development Engineer, Customer Segmentation

Join the Customer Segmentation team and help build intelligent systems which understand customers better. We do this through a highly available, low-latency web api which in real-time evaluates membership in customer segments (customer groups) defined over customer behavioral events and attributes.

These segments are used for hundreds of use-cases across Amazon and subsidiaries : automatically applying promotions to customer orders during checkout, blocking irrelevant advertisements, and personalizing the customer experience across Amazon websites, apps, and devices even the words spoken by Alexa!

Our growing team owns a critically available (99.99% uptime) low-latency (

1 million requests per second) web-service which supports updates segment membership in real-time in as customers take actions (e.

g. make a purchase, subscribe to Amazon prime, etc.). Our real-time updates ensure the most responsive and relevant experience possible for Amazon customers.

At the same time, we coral large pools of historical customer behavioral data to ensure efficiency.

We need software engineers to help unlock new new use-cases for Amazon businesses and consumers, ensure the privacy of customers, and invent the next generation of world-class segmentation and targeting software.

Key job responsibilities

Software engineers design, build and support targeting software features. The Customer Segmentation team has a strong ownership model where every engineer takes the lead one or more projects at a time.

We lead all parts of the project lifecycle :

• brainstorming / conception
• clarifying customer-facing and technical requirements
• designing software
• building, testing, and deploying
• providing support and debugging of live systems

In addition, our engineers are dedicated to building the best team possible. Engineers are partnered with consultants for project work and mentors / mentees for career development.

Within months, new engineers are giving back, supporting new other members, and building a rewarding place to work.

About the team

Customer Segmentation supports hundreds of Amazon and subsidiary internal teams with their consumer-facing features. We partner with teams across the spectrum including : Website Personalization, Promotions, Payments, Music, Prime Video, Whole Foods, Audible, features for Businesses customers and Underserved Populations.

The scale at which we operate provides opportunity for big impact. And the breadth of experiences we support provides exciting visibility into the ever changing world of Amazon.

Our technical strengths focus around (1) operating a scalable, highly available web-service and (2) large-scale data processing.

Our signature service is a critical dependency for some checkout workflows on the Amazon website and we operate dozens of data pipelines, processing >

100TB of data daily. Our engineers are frequently solving scaling and efficiency challenges, designing distributed-systems, and inventing process improvements and new features to guarantee continued availability in the months ahead.

BASIC QUALIFICATIONS

• 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
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• Experience programming with at least one software programming language
• Experience with or interest learning Java and Scala
• Data-driven problem solving and debugging skills

PREFERRED QUALIFICATIONS

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Master's degree in computer science or equivalent
• Experience with distributed systems.
• Experience with large data sets (>

100TB) and related technologies : Spark, Scala, MapReduce, etc.

Experience supporting a high volume, high availability, and low-latency web-service (>

99.9% availability, >

100K requests per second,