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# Sr. Software Quality Assurance Engineer

- **Company:** Tesla Motors
- **Location:** Fremont, CA, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $270,000.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Java (Programming Language), JavaScript (Programming Language), Automation of Tests, Behavior-Driven Development, Code Coverage, Code Review, Data as a Services, Information Engineering, DevOps, Mobile Application Software, Apache JMeter, Python (Programming Language), Load Testing, Azure Machine Learning, Selenium, Software Engineering, Software Quality Assurance (SQA), Postman, Appium, Cypress (Programming Language), Reliability of Systems, Information Technology, Cucumber (Software), Api Management, Testrail, Jenkins
- **Published:** September 5, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/85177651/1

## About the Role

* Master's Degree in Computer Science, Information Technology, or a related field, or equivalent experience
 * 3+ years of work experience of software testing experience including design and develop test automation framework
 * Proficient in Python and JavaScript
 * Passionate about troubleshooting errors to determine root cause and prevent future occurrence
 * Excellent communication skills with detail and result oriented mindset
 * Comfortable and adaptable in a fast-paced environment and handle multiple deadlines

## Description

The manufacturing quality data engineering team is a high impact, high priority and high visibility team that is laser focus on safety critical issues and expanding critical services to Gigafactories worldwide. Within Tesla's Vehicle Engineering organization, you will have the data gold mines across design, manufacturing and vehicle data sources, enabling you to design, create and deploy innovative new data services, automation and machine learning tools into production use. In this role, you will focus on scaling the exponentially growing infrastructure reliably, leveraging testing automation infrastructure to detect software issues before customers experience them.
What You'll Do

 * Led the design, implementation, and optimization of automated testing frameworks for large-scale web and mobile applications, utilizing tools such as Selenium, Appium, and Cypress to achieve high test coverage and significantly improve product reliability across multiple release cycles
 * Collaborated with cross-functional teams, including software engineers, product managers, DevOps engineers and data engineers, to integrate automated testing into CI/CD pipelines using Jenkins, ensuring seamless deployment and minimizing production downtime through proactive failure detection
 * Developed and maintained comprehensive test automation suites in Java, Python, and JavaScript, incorporating behavior-driven development (BDD) principles with Cucumber to facilitate scalable, maintainable tests that supported agile sprints and rapid iteration on features serving millions of users
 * Conducted in-depth code reviews and mentored junior QA engineers on best practices for test automation, including API testing with Postman, resulting in noticeable improvements in team efficiency and the establishment of standardized testing protocols across the organization
 * Analyzed test results and defect patterns using data-driven approaches, leveraging tools like JIRA and TestRail for tracking, and implemented predictive analytics to identify high-risk areas, contributing to a marked reduction in critical bugs post-launch
 * Championed quality assurance initiatives by integrating performance and security testing automation (e.g., JMeter for load testing), ensuring compliance with industry standards and enhancing overall system reliability in high-stakes environments
 * Drove continuous improvement through root cause analysis of test failures, authoring detailed documentation and training modules on automated testing strategies, which were adopted company-wide to foster a culture of diligence and precision in software development


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