Senior/Staff Software Engineer - Ride and Fleet Services

We are looking for a Senior/Staff Software Engineer to lead the development and scaling of our cloud services and APIs that handle ride hailing for Zoox’s production-grade robotaxi service.

These services include dispatch, routing, payments, mobile APIs, telemetry processing, service metrics and more.

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.

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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.

Responsibilities

Design and build scalable, efficient, and robust backend systems for Zoox’s ride-hailing service; Own core functionality such as payments, fleet dispatch, service management; Make significant contributions to technical roadmaps, development plans and execute on them effectively.; Uphold engineering excellence by demonstrating best practices in software development including design review, code review, software testing and documentation.

Requirements

8+ years of cloud software experience; Experience running and optimizing production-grade systems for maximum efficiency and resilience.; Extensive experience with the design, implementation and operation of backend microservices.; Proficiency with Kotlin or Java, REST APIs and SQL.; Experience running production services using cloud infrastructure such as Kubernetes and Docker

Nice to have

Experience with Spring Boot based microservice architectures, PostgreSQL, Elasticsearch; Experience in transportation, robotics, logistics, or autonomous vehicles.; Experience with event driven architecture and Kafka.