The Shipping & Delivery Support (SDS) Tech team within the Amazon Customer Service organization is looking for a motivated individual with strong analytical skills and practical experience to develop the next generation of customer support software systems. The SDS Tech team builds tools to enable issue-resolution processes through self-service, automation, or Customer Service Associates (CSAs).

As a Software Development Engineer (SDE), you will help tackle a diverse landscape of technical problems. You will design, develop and deploy reliable distributed solutions that operate at Amazon scale. You will work with a variety of core languages and technologies including Java, GraphQL, and AWS services. You will tackle problems, novel situations every day, and will have the opportunity to work alongside talented Amazon engineers to redefine an industry.

We are looking for an SDE who is proactive, obsessed to solve the customer problems, and able to drive consensus across multiple teams spanned across different organizations to continuously improve the systems.

Key job responsibilities
- Deliver working features spanning the full software lifecycle including working backwards from customers, software design, implementation, testing and deployment, operations, and documentation
- Mentor engineers on your team to help grow their potential
- Make priority tradeoffs between new feature development and operational work
- Engage with customers, stakeholders, and peers to understand the business and customer value of your team's software in order to ensure you deliver the right solutions.


About the team
As Earth’s most Customer Centric Company, Amazon’s Customer Service (CS) organization builds solutions that provide our customers with the best experience for fast resolutions when faced with an order issue. The Shipping and Delivery Support (SDS) Tech team provides value by combining expertise in Amazon Transportation Services with the scale and support infrastructure of Amazon Customer Service to ensure successful deliveries, gather intelligence to prevent future delivery problems, and automate resolution without requiring human intervention.