Senior QA Automation Architect for AV Fleet Ops

OpenKrill; United States; Remote; USD 125,000 - 167,000; Full time

Job summary

Motional AD LLC in Las Vegas is seeking a Senior QA Automation Test Engineer to lead backend API and frontend validation for our fleet operations platform. You will design scalable automation frameworks in Python and Go, mentor an automation engineer, and drive quality gates within CI/CD pipelines for production-grade releases.

You will own API testing, data pipelines, and end-to-end validation across fleet management, dispatch, and monitoring systems, collaborating with software engineers and

Qualifications

• 5+ years of experience in software QA or test automation, with a strong emphasis on backend and API testing.
• Hands-on proficiency in Python and Go for backend test automation, and JavaScript for frontend automation.
• Experience designing and building automation frameworks for complex, distributed systems.
• Familiarity with REST/gRPC API testing, service integration validation, and data pipeline verification.

Responsibilities

• Own the architecture, development, and maintenance of scalable backend and frontend test automation frameworks for the fleet operations platform, with a focus on backend API and service-level validation.
• Lead integration testing for third-party APIs and internal services, ensuring end-to-end data flow across fleet management, dispatching, and monitoring systems.
• Define test strategies with software engineers and product teams and establish quality gates within CI/CD pipelines.

Skills

Python

Go

JavaScript

API testing

CI/CD

Leadership

Mentorship

Education

Bachelor's degree

Job description

Motional AD LLC in Las Vegas is seeking a Senior QA Automation Test Engineer to lead backend API and frontend validation for our fleet operations platform. You will design scalable automation frameworks in Python and Go, mentor an automation engineer, and drive quality gates within CI/CD pipelines for production-grade releases.

You will own API testing, data pipelines, and end-to-end validation across fleet management, dispatch, and monitoring systems, collaborating with software engineers and