Qualifications:
Bachelor's or Master's degree in computer science or engineering
4+ years of experience as a Software Development in Test with experience in writing automation frameworks and tests.
Working experience with either Kotlin/JAVA, Swift, Python programming languages and experience with tools like version control systems like Git and CI/CD pipelines.
Knowledge on testing methodologies.
Working knowledge of AWS Cloud applications.
Working experience with AI tools and AI agents
Hands-on experience in API testing and test automation design patterns
Proficient with Testing tools like PyTest, Git, CI/CD pipelines, and JIRA
Infrastructure: Docker, Kubernetes, nginx Core Technical Requirements Candidates should: · Be proficient scripting/coding in Python. · Be able to understand an existing Python codebase. · Build test cases and reusable functions. · Be comfortable answering technical Python questions. · Be able to complete a Python coding exercise during the interview process. Test Automation Frameworks The team currently uses/testing includes: · pytest · Appium · Playwright · Python-based automation Nature of the Testing Primarily cross-system, end-to-end integration testing. The testing environment can include: Mobile Device → APIs → Simulated Vehicle → Logs / System Behavior The engineer will be interacting with a simulated Zoox vehicle rather than simply validating an isolated application. Testing may involve: · Android/mobile devices · Mobile application behavior · Simulated vehicle behavior · APIs · API POST operations · Vehicle/simulation logs · Hardware-in-the-loop systems · Cross-system interactions API Experience The engineer will interact with APIs as part of the automated workflows and use existing API scripts/functions to retrieve or manipulate information needed for testing. Database Requirements Direct database development or database infrastructure experience is NOT required. The engineer may need information that ultimately resides in a database, but manager explained that the team generally accesses that information through existing APIs/scripts. AI / AI-Assisted Development Looking for someone who is comfortable using AI coding agents/tools to increase development speed and productivity. Referenced tools such as: · Cursor · AI coding agents / coding assistants Many of the test scenarios have a repetitive underlying structure. For example, Zoox ride scenarios may repeatedly involve similar workflows such as: 1. Hail 2. Ride 3. Drop-off Because tests share a similar baseline manager wants someone who thinks about scalability and reuse, rather than manually rebuilding each test individually. Wants someone comfortable using AI tools to: · Understand an existing codebase. · Gather information faster. · Accelerate scripting. · Create reusable approaches. · Potentially build AI-assisted skills/workflows. · Scale repetitive test automation. Real priority Wants someone who can: Hit the ground running. A less experienced engineer could work if they demonstrate: · Strong technical fundamentals. · Strong Python capability. · Ability to learn quickly. · Relevant automation/testing experience. · High initiative and drive. | 
