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Staff Software Engineer – Backend API

Remote US
Java AWS Kubernetes API GraphQL
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Description
What you need to know about the role: The API team runs, maintains and develops the single public API for Braintree. Our stack is mainly GraphQL in Java on AWS in multiple regions. Meet our team: You will be developing and improving Braintree’s only public API. Our mission is to develop a best-in-class API for easy, quick and robust integration on a global scale. The API serves most of Braintree’s merchants and a few Fortune 10 companies are integrating directly.

Your way to impact: 

You will be Improve and enhance an API that funnels funds like very few API’s in the world do. 
It is a great responsibility and opportunity to own such a vital infrastructure. 
Improving the latency (for example) by a ~10ms can cause a major change in the bottom line, the impact is unmatched. 

Your day to day: 

  • Pair with engineers inside and outside the team to build and improve our services. 

  • Collaborate, communicate and integrate with multiple engineering teams. 

  • Develop a high-level view of the functions, usages, and needs of all of Braintree’s external APIs, and use this to drive architecture decisions. 

  • Trace bugs and errors through multiple systems, including ones you don’t own, sometimes on behalf of customer-facing teammates. 

  • Drive team discussions on technical strategy, system architecture, and component design. 

  • Participate in all stages of the software development cycle, including design and development of significant new architectural systems and improvements. 

  • Develop and maintain technical documentation. 

  • Participate in 24/7 on-call team rotation of the services we own. 

What do you need to bring: 

  • 7+ years of non-internship professional backend software development. 

  • Excellent verbal and written communication skills. 

  • Deep GraphQL API backend experience and developing complex mutations. 

  • Proficient in Java. 

  • Excellent skills in complex technical problem-solving. 

Preferred Qualifications: 

  • Solid understanding of distributed systems and cloud architectures. 

  • Ability to present technical problems to non-technical audiences. 

  • Experience with Kubernetes. 

  • Experience working in a large engineering environment, coordinating across multiple teams, and leading organization-wide projects. 

 

 

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