[Remote] Senior IT QA Engineer

Note: The job is a remote job and is open to candidates in USA. Guild Mortgage is hiring a Senior IT QA Engineer to own quality outcomes for assigned products, platforms, and initiatives. The role develops risk-based quality strategies, advances automation and AI-enabled quality solutions, turns quality data into actionable insights, and influences engineering and business decisions to improve product health and delivery outcomes.

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 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 architects and engineering teams to embed quality verification directly into delivery workflows and CI/CD pipelines
• Continuously evaluate emerging technologies and identify opportunities to modernize quality practices
• Leverage AI-assisted engineering and quality tools to improve productivity, quality coverage, insight generation, and decision support
• Analyze quality signals from multiple systems to identify patterns, trends, bottlenecks, and opportunities
• Transform quality data into actionable insights for leadership and delivery teams
• Develop dashboards, reporting, and quality intelligence mechanisms that improve decision making
• Use customer, operational, and production data to validate product quality and business outcomes
• Drive improvements based on measurable results rather than opinion or anecdotal evidence
• Identify opportunities by analyzing quality, operational, and customer data across the software delivery lifecycle
• Lead complex testing initiatives across web, mobile, API, data, cloud, and distributed systems
• Apply software engineering principles to design, implement, 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 system resilience
• Support quality engineering maturity through innovation, experimentation, and continuous improvement
• Partner closely with Product Management, Development, Architecture, Security, Operations, and Business stakeholders
• Participate in Agile ceremonies and delivery planning with a focus on quality outcomes
• Help teams prioritize quality investments based on risk and expected business value
• Promote a culture where quality is owned by the entire team rather than a single function
• Influence Technical and Business Decisions through expertise, evidence, data, and trusted partnerships

Skills

• 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 within 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 with the ability to transform 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 with the 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 required
• Highly organized and detail-oriented; ability to work in a fast-paced, metrics-driven environment required
• Proficiency in Microsoft Office Suite, Word, Excel, Wiki, collaborative cloud-based programs, and third-party software applications required
• Bachelors Degree in Computer Science, Information Technology, or related field strongly preferred
• Relevant industry certifications (e.g., ISTQB or CSTE is a plus)
• Continuous learner with curiosity around emerging technologies, AI capabilities, automation, analytics, and quality engineering practices
• Exposure to Nexora Framework is a plus

Benefits

• Remote
• Medical
• Dental
• Vision
• Life insurance
• AD&D
• LTD
• 401(k) with employer match

Company Overview