Vertex Sigma Software
Test Engineer
Foster City, California, United States
Sponsorship not specifiedDetected 81 days ago
JavaScriptTypeScriptJiraPlaywrightManual TestingCollaboration
About the role
- This role requires close collaboration with cross-functional teams to ensure high-quality releases across multiple environments.
- Provide QA sign-off for release readiness and ensure all validation activities meet defined quality standards.
Responsibilities
- Perform manual testing for RiderDash, Concierge and CoreDash feature, releases, hotfixes, and pre-merge validations.
- Support ZPT triage and assist in identifying, reproducing, and verifying defects across environments (Dev, Staging, and Production).
- Collaborate with developers, QA leads, and product managers to ensure test completeness and feature validation readiness.
- Document test results, maintain traceability to requirements, and track issues to closure.
Requirements
- Bachelor's or Master's degree in computer science, engineering, mathematics, or related field.
- 1-3 years of experience as a QA Engineer with proven skills in testing large scale complex applications.
- Strong working experience in testing tools like JIRA and TestRail.
Nice to have
- TypeScript or JavaScript experience.
- Playright automation experience.
Skills
- Utilize AI tools for process and test improvements.
Benefits
- Develop, maintain, and expand Playwright automation test cases to enhance regression coverage and test efficiency.
Company info
- Test Engineer - RiderDash, Concierge and CoreDash Onsite in Foster City, CA | 5 days in office We are seeking a Test Engineer to join the Product Software QA Team, focusing on manual and automation testing for mission-critical web-applications - RiderDash, Concierge and CoreDash.
- The ideal candidate will play a key role in manual release validation and vehicle mission testing, while also contributing to the development and maintenance of Playwright-based automated test cases.
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This listing is sourced directly from Vertex Sigma Software's careers page and normalized into a canonical job model.