Job Description
With the rise of Generative AI and LLMs, customer expectations for deeply personalized experiences have increased. To meet this challenge, we"re seeking a Software Development Engineer to help develop a unified customer personalization service supporting Amazon"s diverse range of businesses and offerings. This initiative will revolutionize how we understand and serve our customers, leveraging advanced AI and machine learning techniques to uncover insights from seemingly unrelated interactions across our services. By creating a seamless, personalized experience that adapts in real-time to customer preferences and behaviors, we aim to set new industry standards for customer-centric, AI-powered personalization. As a leader in this initiative, you"ll drive technological breakthroughs that will directly enhance millions of customer interactions daily.
Key job responsibilities
As a Software Development Engineer II, you will solve technical challenges related to large-scale data integration, real-time data access, and privacy-preserving personalization. You"ll play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. Specific responsibilities include:
Design and develop highly scalable and reliable distributed services for real-time data access and integration across multiple Amazon platforms.
Implement sophisticated server-side filtering and querying capabilities to ensure efficient and relevant data retrieval.
Create standardized APIs and data models to enable seamless data sharing and utilization across diverse business units.
Develop and optimize systems for handling both offline and online data access, including real-time event processing and batch data analysis.
Implement robust privacy controls and compliance measures to ensure data protection and regulatory adherence.
Collaborate with AI and machine learning teams to integrate advanced personalization capabilities into the platform.
Work on innovative solutions for standardizing product and offering identifiers across different Amazon services.
Contribute to the development of data feeds and reactor systems for real-time data enrichment and insight generation.
About the team
Customer 360 is an innovative initiative that aims to transform how Amazon understands and serves its customers. We"re developing state-of-the-art solutions to unify customer data and insights across multiple business units, enabling more personalized and effective customer experiences.
Numbers & Facts
| Location | Seattle, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Skills
- Application Programming Interface (API)unmatched
- Artificial Intelligence (AI)unmatched
- Concreteunmatched
- Customer Experienceunmatched
- Customer Relationsunmatched
- Customer Support/Serviceunmatched
- Customer/Client Researchunmatched
- Customer/Consumer Behaviorunmatched
- Data Analysisunmatched
- Data Modelingunmatched
- Data Processingunmatched
- Data Recoveryunmatched
- Develop and Maintain Customersunmatched
- Industry Standardsunmatched
- Information/Data Security (InfoSec)unmatched
- Leading Edge Technologyunmatched
- Machine Learningunmatched
- Multiplatform/Cross-Platformunmatched
- Privacy Controlsunmatched
- Proof of Conceptunmatched
- Prototypingunmatched
- Regulationsunmatched
- Requirements Managementunmatched
- Scalable System Developmentunmatched
- Software Developmentunmatched
- Software Engineeringunmatched
- Standards Developmentunmatched
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