Sr. Quality Engineer, Marine

Capital Factory; United States; On-site; USD 140,000 - 180,000; Full time

Job summary

Storable Marine is seeking a Senior Quality Engineer to join our Marine division and drive quality across a complex software platform used by marinas and service yards. You will own test strategies, build automation, validate APIs and data, and collaborate with product, engineering, and support teams to deliver reliable software.

The role combines hands-on QA, AI-assisted tooling, and a passion for improving testing efficiency while ensuring release readiness and customer satisfaction across our

Qualifications

• 5+ years of hands-on Quality Assurance or Quality Engineering experience.
• Strong test strategy, exploratory testing, regression planning, and risk-based validation.
• Experience building or maintaining automated tests with a modern framework.
• Experience validating APIs, integrations, data, and critical workflows.
• Ability to use SQL to investigate data issues and validate behavior.
• Familiarity with CI/CD pipelines and deployment validation.
• Experience using AI-assisted tools in QA workflows.
• Excellent problem-solving and ability to clarify risks.
• Strong communication to explain risks and release recommendations.
• Collaborative mindset with mentoring experience.

Responsibilities

• Define and execute test strategies across manual and automated testing.
• Validate APIs, data, and business workflows; own automation.
• Develop and maintain automated tests with Cypress, Selenium, or similar.
• Query data with SQL to troubleshoot issues.
• Collaborate with product, design, and engineering to ensure quality.
• Mentor junior engineers on QA practices and automation.
• Operate within CI/CD pipelines and release validation.
• Leverage AI-assisted tools to improve testing and debugging.

Skills

Quality Assurance

Test automation

APIs validation

SQL queries

CI/CD familiarity

AI-assisted tools

Tools

Cypress

Selenium

TestNG

Cucumber/Gherkin

GitHub

GitLab

Jira

Job description

Senior Quality Engineer, Marine

Storable is seeking a Senior Quality Engineer to help ensure the quality, reliability, and usability of our Marine software platform. This role combines hands‑on quality engineering, test automation, API and data validation, and thoughtful use of AI‑assisted tools to improve speed, coverage, and engineering outcomes.

Our marine platform powers the day‑to‑day operations of marinas, boat clubs, service yards, rental fleets, and other waterfront businesses. It supports workflows such as slips and storage, reservations and online bookings, rentals, point of sale, payments and billing, customer and vessel records, digital waivers and contracts, service operations, reporting, and other industry‑specific needs.

About the Role

As a Senior Quality Engineer in Storable’s Marine Division, you will partner closely with product managers, software engineers, architects, and other quality engineers to deliver reliable, customer‑focused software. You will help clarify requirements, identify risks, design test strategies, build and maintain automation, validate APIs and data, investigate defects, and improve the way our teams measure and deliver quality.

You will be expected to understand systems deeply, validate business‑critical workflows, and communicate clearly with engineers and non‑engineers. This is a hands‑on role for someone who can combine thoughtful test strategy with practical execution.

About Storable

At Storable, we believe operators should have one partner they can trust to help them get the results they need for their business. We have built an integrated platform that brings together software, websites, marketing programs and services, payments, and deeply integrated insurance capabilities into one solution.

Storable Marine is focused on helping marine businesses operate more efficiently, deliver better customer experiences, and modernize the way they manage their operations. Our engineering teams work in an Agile environment and partner closely with product, design, support, and business stakeholders to deliver meaningful value to customers.

What You’ll Do

• 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.

What We’re Looking For

Must Have

• 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.

Nice to Have

• 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.

How We Expect Engineers to Use AI

We are especially interested in quality engineers who treat AI as a serious engineering tool and can point to practical ways it has improved how they validate, automate, and ship software. You should be comfortable using tools such as Codex, Claude Code, Cursor, GitHub Copilot, ChatGPT, or similar AI‑assisted development platforms to:

• Explore product behavior and risk areas in unfamiliar systems.
• Draft test cases, automation code, data queries, documentation, defect summaries, and validation plans.
• Identify edge cases, failure modes, regression risks, and gaps in acceptance criteria.
• Debug failed automated tests,