Senior Quality Engineer

Storable is seeking a Senior Quality Engineer to help ensure the quality, reliability, and usability of our RV & Camping software platform. This role involves hands-on quality engineering, test automation, API and data validation, and collaboration with various teams to deliver reliable software.

Responsibilities:

• Work in an Agile SDLC to deliver incremental customer and business value while advancing product quality within a scrum team
• Partner with Product Owners, Software Engineers, Architects, and other QA engineers to clarify requirements, identify ambiguity, and shape testable user stories
• Own and influence test strategy across manual testing, automated testing, API validation, database validation, exploratory testing, regression coverage, and release readiness
• Use AI-assisted tools where they improve test planning, automation, debugging, defect analysis, documentation, or technical discovery
• Design and maintain automated tests using frameworks such as Cypress, Selenium, TestNG, Cucumber/Gherkin, or similar tools
• Build and maintain API automation that validates service behavior, integration points, data contracts, permissions, and business-critical workflows
• Use SQL to query, validate, and troubleshoot application data
• Work with CI/CD tools and deployment pipelines, including GitHub or GitLab, to validate builds, test execution, environments, release quality, and pipeline failures
• Troubleshoot internal bugs, failed automated tests, customer-reported issues, data inconsistencies, and environment problems with speed and care
• Identify gaps in testability, observability, automation coverage, requirements clarity, and team process, then help close those gaps
• Advocate for quality early in the SDLC instead of treating testing as a final checkpoint
• Collaborate with product, design, support, engineering, and business stakeholders to translate customer needs into validated, reliable product outcomes
• Mentor junior engineers on mature QA practices, test automation craftsmanship, and risk-based testing
• Participate actively in stand-ups, retrospectives, backlog refinement, test strategy discussions, and technical design reviews
• Continuously evaluate tools, technologies, and workflows that can improve engineering productivity and product quality

Requirements:

• 5+ years of hands-on Quality Assurance or Quality Engineering experience
• Strong test strategy, exploratory testing, regression planning, release readiness, defect investigation, and risk-based validation skills
• Experience building or maintaining automated tests using at least one modern test automation framework
• Experience validating APIs, integrations, application data, and business-critical workflows
• Ability to use SQL to investigate data issues, validate expected behavior, and support defect analysis
• Working familiarity with CI/CD pipelines, source control workflows, and deployment validation
• Practical use of AI-assisted tools in engineering or QA workflows, with the judgment to evaluate and improve AI-generated output
• Excellent problem-solving skills and the ability to break down ambiguous quality risks into clear, executable validation steps
• Strong communication skills, including the ability to explain quality risks, test strategy, defects, tradeoffs, and release recommendations to technical and non-technical stakeholders
• A collaborative mindset and demonstrated ability to mentor, guide, and raise the quality bar for other engineers
• Node.js, TypeScript, JavaScript, or similar application development experience
• MySQL, PostgreSQL or similar relational database experience
• Experience with Cypress, Selenium, TestNG, Cucumber/Gherkin, or similar tools
• Experience with GitHub, GitLab, Jira, Confluence, or similar engineering collaboration systems
• Experience testing SaaS products serving industry-specific operational workflows
• Experience testing point of sale, reservations, bookings, payments, customer management, rentals, contracts, reporting, or marketplace-style systems
• Experience modernizing legacy test suites or incrementally improving automation coverage in older codebases