Heritage Capital Group

QA Engineer

• Lead the development of a modern Quality Engineering approach that emphasizes AI-assisted testing and analysis, risk-based quality practices, repeatable quality standards across teams and systems, and scalable processes that improve quality without unnecessarily slowing delivery.
• Serve as a working manager by personally contributing to functional testing for enterprise applications, internal systems, APIs, integrations, and cross-system workflows; test strategy, test planning, exploratory testing, and quality analysis; defect triage, documentation, prioritization, and root-cause analysis; and early identification of functional risk, workflow gaps, and release concerns.
• Help define and implement an AI-centric quality model, including using AI tools to accelerate test case generation, regression design, exploratory coverage, and quality analysis; evaluating where AI meaningfully improves speed, coverage, and insight; establishing practical standards for reviewing and validating AI-assisted testing outputs; and advancing quality practices for data-driven and AI-enabled workflows, including behavioral regression, variability testing, and workflow consistency.
• Establish quality standards and release readiness practices by creating consistent functional testing expectations across systems and teams, identifying coverage gaps, ownership gaps, and recurring quality risks, supporting more structured and predictable release readiness processes, and helping create practical quality metrics, scorecards, or reporting that improve visibility and accountability.
• Partner closely with developers, product owners, and business stakeholders to clarify requirements and acceptance criteria, surface quality concerns earlier in the software development life cycle, improve coordination around testing and release readiness, and support User Acceptance Testing by organizing test cases, validating readiness, and enabling effective business handoff.
• Help shape the future of the function by recommending the right balance of hands-on testing, automation, AI tooling, and future hiring; contributing to the hiring and development of additional Quality Engineering resources over time; and promoting a culture of continuous improvement in quality practices across the organization.

Quality Engineering Manager