Software Engineer - Full Stack

Full-time

Job Description

As a Software Engineer on our team, you will design and develop full-stack applications with frontend, backend, and API components to support and enhance our QA Engineering processes. Your work will involve building scalable and efficient systems that integrate with various internal tools. Additionally, you will contribute to automation solutions to improve efficiency and streamline processes. You should be passionate about developing high-quality software, optimizing system performance, and delivering solutions that enhance team productivity and collaboration.

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. 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.

In this role, you will:

Develop full-stack applications, including frontend, backend, APIs, and microservices to support Software QA’s needs

Design, develop, and maintain frameworks to support integration, subsystem, and end-to-end test runs

Design and develop frameworks or tooling to improve developer velocity and productivity, increase pipeline execution efficiency, and reduce manual pipeline management

Collaborate with cross-functional teams to understand test development and execution challenges, and develop automated solutions to address them

Optimize and scale automated processes to improve reliability and reduce manual efforts