Q​/A Lead

Q/A Lead – BBI Logistics

Ensure our products are delivered with the highest levels of quality, reliability, and security. In this senior role you define the overall quality assurance strategy and testing framework for our platform, combining automated and manual testing approaches to support rapid development without compromising quality. You lead a team of QA engineers, establish best practices, and foster a culture of quality from requirements through release.

The QA Lead works closely with development, product, Dev Ops, and security teams to integrate testing early and often (shift‑left), ensuring that potential issues are caught and resolved well before deployment.

This is an in‑person role based at our office in Columbus, OH.

• Define and implement the QA strategy and test plans for BBI Logistics products, setting clear quality goals and metrics. Establish processes for test planning, execution, and defect tracking that ensure each release meets strict standards for functionality, performance, and security.
• Lead and mentor the QA team, providing guidance on test design, coverage, and prioritization. Foster an environment of accountability and continuous improvement, where QA engineers are proactive in improving product quality and collaborate closely with developers and product managers.
• Develop and maintain automated testing frameworks for various test levels – including unit tests, API tests, UI/end‑to‑end tests, and performance tests. Integrate these tests into our CI/CD pipelines to automatically run on each build, enabling rapid feedback on code quality.
• Oversee comprehensive end‑to‑end testing of the system, covering functional requirements as well as non‑functional aspects like performance, scalability, and security. Ensure that critical user flows (such as payment transactions) are thoroughly tested under real‑world conditions and that any issues are resolved before release.
• Promote a “shift‑left” testing approach by involving QA early in the development lifecycle. Work with developers and product owners from the design phase to review requirements for testability, identify potential problem areas in advance, and build test cases early. This early collaboration helps prevent defects and streamlines the path to production.
• Drive innovation in QA practices and tools, continuously evaluating new testing technologies to increase efficiency and depth of testing. This could include introducing AI‑driven testing tools, chaos engineering for resiliency, or other cutting‑edge methodologies to improve coverage and catch issues that traditional testing might miss.
• Coordinate release management and quality gates: define clear criteria for release readiness (e.g., all critical tests passed, no high‑severity bugs open). Collaborate in go/no‑go decisions and ensure that only thoroughly vetted releases reach production. If issues arise, work with engineering and product teams to triage and resolve blocking defects quickly.
• Track and report QA metrics such as test coverage, defect densities, escape rates (bugs found in production), and overall quality trends. Use these metrics to identify areas for improvement in the development or QA process, and regularly communicate quality status and progress to stakeholders.
• Ensure compliance and security testing is included in the QA process for our fintech products. Work with the Security Lead to incorporate checks for regulatory compliance (e.g., validating workflows against financial regulations) and to perform security testing (vulnerability scans, pen tests on new features) as part of the quality process.

• 8+ years in Quality Assurance/Software Testing roles, with at least 2–3 years in a QA lead or managerial capacity, driving QA strategy and managing test teams or projects. Experience in fast‑paced or agile software development environments is highly valued.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). Professional training or certifications (e.g., ISTQB) are a plus.
• Expertise in software testing methodologies and types – functional, regression, integration, performance, load,…