Software Engineer - Payments

Foster City, CA Remote Hybrid
USD 160k - 225k
API Java Python C++ PostgreSQL Kotlin Kafka Elasticsearch Machine Learning
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The Ride and Fleet Services team is looking for a backend Software Engineer to build out the Payment System for our Zoox ride service. As a Software Engineer, you will be responsible for designing, implementing, and maintaining a secure, efficient, and scalable payment infrastructure that ensures seamless payment experience in these key areas: Payment Gateway Integration, Transaction Processing, Tax Calculation, Billing, Dynamic Pricing, Refund/Dispute.

In this role, you will:

  • Design and build a scalable, efficient, and robust backend services for customer and trip information related to Zoox ride service pricing and billing.
  • Keep the system in a scalable, observable and fault tolerant way with high performance.
  • Design and build clean and flexible APIs and data models for rider mobile app,  ride operation tool and fleet management tool and support their integration with these clients.
  • Collaborate with teams of world-class engineers, product managers, technical program managers from diverse backgrounds with expertise in distributed computing, rider experience, web and mobile applications, autonomous driving, mapping, AI, and software infrastructure.
  • Contribute to products that impact humans and their experience in autonomous vehicle ride and work on solving problems that arise from real-life situations.


  • Bachelor's degree in an engineering, math, or related field
  • Experience with design and implementation of distributed backend services
  • Experience with programming and algorithm design
  • Experience with Kotlin or Java, Python, C++, REST API, Protobuf, PostgreSQL, Kafka, Elasticsearch
  • Strong mathematics skills

Bonus Qualifications

  • Master's degree in computer science or related degree
  • Ability to lead through ambiguity and work with diverse stakeholders
  • Ability to iterate quickly and efficiently on building end-to-end experiences
  • Experience with payments, billing, or ERP systems
  • Experience with customer-facing applications
  • Experience handling large data setsKnowledge about microservice design patterns
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $160,000 to $225,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Autonomous Vehicles Machine Learning Robotics Transportation

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