Senior Manual QA Engineer
F
Faro Health Inc.Life Sciences SaaS
California, United States. Florida, United States. North Carolina, United States. New York, New York, United States. Massachusetts, United States. San Diego, California, United StatesFull-TimeSenior
Salary119,000 - 141,000 USD per year
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Job Details
- Experience
- 8–10+ years
- Required Skills
- SQLJiraQuality AssuranceSaaSLLMGenerative AI
Requirements
- 8–10+ years in the Quality Assurance discipline, with a proven track record in fast-moving, growth-minded startups.
- Experience transitioning from early-stage builds to scaled production environments.
- Proactive expertise in leveraging Generative AI and LLM tools to augment manual testing.
- Extensive experience testing cloud-native applications (AWS, Azure, or Google Cloud) and modern, multi-tenant SaaS platforms.
- Expert-level proficiency in SQL for deep data validation and backend integrity testing.
- Strong understanding of black-box and white-box testing, non-functional, performance, accessibility and security testing principles.
- Excellent writing, verbal and presentation skills.
- Experience using Quality and Test Management tools (e.g., Jira, QASE).
- Familiarity with the shift-left approach and supporting the transition from manual-heavy to automation-integrated workflows.
Responsibilities
- Analyze user requirements and design documents to develop detailed, risk-based test plans and manual test cases for a complex SaaS platform.
- Lead the execution of functional, regression, and integration test cases.
- Document defects with high precision and provide detailed testing summaries.
- Utilize SQL queries to analyze, manipulate, and validate test data.
- Evaluate proposed software changes to determine their impact on platform performance, scalability, and reliability.
- Provide technical guidance and best practice mentoring to QA Engineers.
- Coordinate the flow of information and maintain close communication with Developers, Product Owners, and DevOps.
- Apply innovative thinking to improve existing QA methodologies.
- Provide close monitoring and triage of issues found during the SDLC.
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