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Senior Enterprise QA Engineer

Accepting applications

Zoox · Foster City, CA

Full-Time Mid_senior AIMentoraiatemachine learning
Posted
2d ago
Category
Test
Experience
Mid_senior
Country
United States
We are seeking an experienced Senior Enterprise QA Engineer with 8+ years of expertise in software quality assurance, test strategy, and enterprise application testing. The ideal candidate will lead end-to-end testing initiatives, manage QA teams, define automation frameworks, and ensure high-quality delivery across complex enterprise systems and digital transformation programs.

In This Role, You Will...

Lead enterprise-wide testing programs for web, mobile, API, cloud, and enterprise applications.
Define and implement enterprise QA strategies, test plans, testing standards, and governance frameworks.
Manage functional, integration, system, regression, UAT, automation, and performance testing activities.
Develop and maintain automated regression test suites for continuous validation and release readiness.
Lead performance, load, stress, endurance, and scalability testing initiatives.
Collaborate with business stakeholders, product owners, architects, developers, and DevOps teams.
Support CI/CD integration and shift-left testing practices.
Establish QA metrics, dashboards, defect management processes, and quality reporting standards.
Identify testing risks, dependencies, bottlenecks, and mitigation strategies.
Mentor QA engineers and coordinate offshore/onshore testing teams and vendor partners.
Ensure production readiness and support release management activities.

Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field
8+ years of experience in Software Testing / Quality Assurance
Strong experience in enterprise application testing and QA leadership
Hands-on experience with Test Automation Tools like Selenium, Worksoft along with Performance testing tools like Loadrunner, Tricentis
Experience testing integrations with SAP, Oracle, Salesforce, or other enterprise platforms
Knowledge of cloud platforms such as AWS, Azure, or GCP

Bonus Qualifications

Performance testing certifications preferred
Experience with AI-driven testing and quality engineering practices
Experience with CI/CD tools like Jenkins, GitHub Actions

$190,000 - $228,000 a year

Base Salary Range

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. The listed range applies only to the base salary. 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.

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.

Follow us on LinkedIn

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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