Senior IT QA Engineer

Guild Mortgage•,

13d•$94,882 - $136,096

About The Position

The Senior IT QA Engineer is a senior individual contributor responsible for delivering quality outcomes through technology, influence, data, and leadership of work. The role combines quality engineering, automation, analytics, and organizational change. Rather than concentrating only on manual testing, the engineer uses automation platforms, AI-enabled quality capabilities, observability data, quality intelligence, and modern engineering practices to assess product health, identify risk, drive improvements, and influence decisions across product, development, and business teams. The role serves as a trusted quality advisor and quality owner within delivery teams. It does not manage people, but it leads complex quality initiatives, influences technical and business decisions, guides quality strategy, and drives measurable improvements in product outcomes. Success is measured by enabled quality outcomes, insights, automation capabilities, risk reduction, and measurable improvements. The position is exempt and has a targeted salary range of $94,882 to $136,096. Compensation is influenced by factors including local and federal minimum wage requirements, education, experience, and geographic location. Work is primarily sedentary in an office environment, with work primarily during the Monday–Friday business week and occasional nights or weekends as necessary. Travel is 5–10%.

Requirements

Minimum five years of experience in software quality engineering, software testing, quality automation, software development, or a related discipline.
Demonstrated ability to drive quality outcomes through automation, data analysis, technical expertise, and cross-functional influence.
Experience creating automated quality solutions and integrating them into modern delivery pipelines.
Experience using metrics, analytics, and operational data to drive decisions and improvements.
Experience working in Agile, DevOps, and modern software engineering environments.
Demonstrated success delivering quality outcomes for complex enterprise technology initiatives.
Strong understanding of modern software engineering practices.
Proficiency in one or more programming or scripting languages such as Python, Java, C#, JavaScript, or similar technologies.
Experience with automated testing frameworks and quality engineering platforms.
Experience with source control systems, CI/CD pipelines, cloud-native architectures, APIs, microservices, and distributed systems.
Strong SQL and data analysis capabilities, including the ability to turn quality data into actionable business insights.
Ability to analyze complex systems and identify quality risks across people, process, technology, and data.
Ability to read, understand, troubleshoot, and contribute code when necessary.
Experience with monitoring, logging, observability, and production telemetry platforms.
Experience leveraging AI-assisted engineering, automation, and quality solutions to improve quality outcomes and team effectiveness.
Strong troubleshooting, root-cause analysis, and problem-solving skills.
Strong systems-thinking mindset and ability to evaluate end-to-end business processes, technical dependencies, and organizational risk.
Demonstrated ability to influence organizational outcomes through expertise, credibility, and relationships.
Experience mentoring engineers and elevating team capabilities.
Strong business acumen and ability to connect quality activities to customer and organizational outcomes.
Excellent verbal and written communication skills.
Highly organized and detail-oriented, with ability to work in a fast-paced, metrics-driven environment.
Proficiency in Microsoft Office Suite, Word, Excel, Wiki, collaborative cloud-based programs, and third-party software applications.
Commitment to company values: Customer Service, Integrity, Respect, Collaboration, Learning, and Excellence.
Ability to operate standard office equipment and keyboards.
Ability to accurately interpret sounds and associated meanings at a volume consistent with interpersonal conversation.
Ability to adapt effectively to workplace stressors, including customer service complaints, security responsibilities, and competing priorities.
Bachelor’s degree in Computer Science, Information Technology, or a related field is strongly preferred.
Relevant industry certifications such as ISTQB or CSTE are a plus.
Exposure to the Nexora Framework is a plus.

Nice To Haves

Relevant industry certifications such as ISTQB or CSTE.
Exposure to the Nexora Framework.
Bachelor’s degree in Computer Science, Information Technology, or a related field is strongly preferred.

Responsibilities

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 discussions with Product, Engineering, Architecture, and Business stakeholders to improve quality, reduce risk, and increase delivery effectiveness.
Advocate for quality-focused decisions supported by data and evidence, influencing change without direct authority.
Develop and execute risk-based quality strategies aligned with business objectives; identify risks early and recommend mitigation plans.
Design scalable quality approaches that balance speed, quality, cost, and business risk; define meaningful measures and evaluate product health.
Lead root-cause analysis and systemic improvement efforts for recurring quality issues, assessing quality across systems, processes, data, customer experiences, and organizational practices.
Design, implement, and continuously improve automated quality solutions using modern automation frameworks, AI-assisted solutions, and engineering tools.
Guide adoption of API, integration, performance, data, security, and end-to-end automation approaches.
Partner with architects and engineering teams to embed quality verification into delivery workflows and CI/CD pipelines; evaluate emerging technologies to modernize quality practices.
Analyze quality signals across systems to identify patterns, trends, bottlenecks, and opportunities, and turn quality data into actionable insights.
Develop dashboards, reporting, and quality intelligence mechanisms; use customer, operational, and production data to validate product quality and business outcomes.
Lead complex testing initiatives across web, mobile, API, data, cloud, and distributed systems.
Apply software engineering principles to build and maintain scalable quality solutions; establish and promote engineering standards, testing practices, and quality patterns.
Read, understand, troubleshoot, and contribute code when necessary.
Provide technical guidance and mentorship to QA engineers and delivery teams; contribute to architecture discussions to improve testability, observability, reliability, maintainability, and resilience.
Partner with Product Management, Development, Architecture, Security, Operations, and Business stakeholders; participate in Agile ceremonies and delivery planning focused on quality outcomes.
Help teams prioritize quality investments based on risk and expected business value, and promote shared team ownership of quality.
Influence technical and business decisions through expertise, evidence, data, and trusted partnerships.
Support quality engineering maturity through innovation, experimentation, and continuous improvement.