Senior IT QA Engineer

Guild Mortgage Company , closing loans and opening doors since 1960. As a mortgage banking firm we are dedicated to serving the home owner/buyer. Our goal is to provide affordable home financing for our customers, utilizing the best terms available while providing a level of professionalism and service unsurpassed in the lending industry.

The Senior IT QA Engineer is a senior individual contributor responsible for delivering quality outcomes through technology, influence, data, and leadership of work. This role operates at the intersection of quality engineering, automation, analytics, and organizational change.

Rather than focusing solely on manual test execution, the Senior IT QA Engineer acts as the orchestrator of quality solutions. They leverage automation platforms, AI-enabled quality capabilities, observability data, quality intelligence, and modern engineering practices to continuously assess product health, identify risk, drive improvements, and influence better decisions across product, development, and business teams.

The Senior IT QA Engineer serves as a trusted quality advisor and quality owner within delivery teams. They do not manage people but are expected to manage complex quality initiatives, influence technical and business decisions, guide quality strategy, and drive measurable improvements in product outcomes through technology, automation, data, and expertise.

Success is measured not by the volume of tests executed personally, but by the quality outcomes, insights, automation capabilities, risk reduction, and measurable improvements they enable.

This role is an exempt position with a targeted salary range of $94,882 to $136,096.

Compensation at Guild is influenced by a wide array of factors including but not limited to local and federal minimum wage requirements, education, level of experience, and applicant’s geographical location.

• Serve as the primary quality owner and trusted quality advisor for assigned products, platforms, or initiatives.
• Drive quality outcomes through influence, partnership, coaching, and data-driven decision making.
• Use quality metrics, production telemetry, defect trends, customer feedback, and delivery data to identify risks and opportunities.
• Lead conversations with Product, Engineering, Architecture, and Business stakeholders to improve quality, reduce risk, and increase delivery effectiveness.
• Challenge assumptions and advocate for quality-focused decisions supported by data and evidence.
• Build credibility as a trusted advisor capable of influencing change without direct authority.

• Develop and execute risk-based quality strategies aligned to business objectives.
• Identify quality risks early and recommend mitigation plans before issues impact customers.
• Design scalable approaches that balance speed, quality, cost, and business risk.
• Define meaningful quality measures and continuously evaluate product health.
• Drive root-cause analysis and systemic improvement efforts for recurring quality issues.
• Assess quality holistically across systems, processes, data, customer experiences, and organizational practices.

• Leverage modern automation frameworks, AI-assisted quality solutions, and engineering tooling to maximize quality coverage and efficiency.
• Treat automation platforms, AI capabilities, and quality technologies as force multipliers capable of performing work at scale.
• Design, implement, and continuously improve automated quality solutions.
• Guide the adoption of advanced testing approaches including API, integration, performance, data, security, and end-to-end automation.
• Partner with…