Robinhood
Staff Quality Engineer
Menlo Park, CA · Staff+ · Contract
Sponsorship not specified$179k-$210kDetected 10 days ago
PythonJavaiOSAndroidSparkJiraSeleniumPlaywrightAppiumTest AutomationCommunication
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading.
Responsibilities
- Own the quality of new features, including test planning, execution, and feedback throughout the development cycle
- Define and implement test strategies for P0 product launches, including both frontend and backend validation
- Perform manual and automated testing, with a focus on end-to-end functionality
- Build AI-powered systems and tools to automate and accelerate Quality Engineering workflows.
- If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application.
- AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process.
Requirements
- Proven experience testing mobile (iOS/Android) and web applications in fast-paced product environments
- Strong understanding of quality assurance principles, test case development, and test execution
- Hands-on experience with UI automation tools such as Appium, Selenium, Playwright
- Comfort with scripting languages (e.g., Python, Java) and test infrastructure tools
- Familiarity with bug tracking (e.g., Jira) and test case management tools (e.g., TestRail)
Skills
- Join us in building the future of finance.
- An estimated $124 trillion of assets will be inherited by younger generations in the next two decades.
- The largest transfer of wealth in human history.
- About the team + role
- Sharp problem-solvers.
- Builders who are wired to make an impact.
- Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers.
- Expectations are high, and so are the rewards.
- At Robinhood, Quality Engineering (QE) is a critical function within our broader engineering organization.
Compensation
- $179,000 - $210,000 USD
- $157,000 - $185,000 USD
- $139,000 - $189,000 USD
- Annual lifestyle wallet for personal wellness, learning and development, and more
- Base Pay Range:
Benefits
- Market competitive and pay equity-focused compensation structure
- 100% paid health insurance for employees with 90% coverage for dependents
- Annual lifestyle wallet for personal wellness, learning and development, and more
- Lifetime maximum benefit for family forming and fertility benefits
- Dedicated mental health support for employees and eligible dependents
- Generous time away including company holidays, paid time off, sick time, parental leave, and more
- Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
- In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
- Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.
Company info
- Our mission is to democratize finance for all.
- We're a high-performing, fast-moving team with ethics at the center of everything we do.
- Our mission is to uphold a high bar for customer experience, especially during P0 launches, through a mix of technical expertise, test execution, and cross-functional collaboration.
Equal opportunity
- Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws.
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This listing is sourced directly from Robinhood's careers page and normalized into a canonical job model.