Manager, Quality Assurance

ICE - Atlanta, GA

Hiring: Manager, Quality Assurance Company: ICE Location: Atlanta, GA Job Posted Time: 2026-09-15 10:21:46 Target Skills & Keywords : AI, AWS, Agile, Azure, Azure DevOps, C#, CI/CD, ETL, GCP, GitHub Actions, GitLab CI, GraphQL, Hadoop, JMeter, Java, JavaScript, Jenkins, Jira, Load Testing, Machine Learning, MongoDB, OAuth, PostgreSQL, Postman, Python, REST, RESTful, Regulatory Compliance, SOAP, SQL, SQL Server, Scrum, Selenium, Spark, TestNG, pytest About the job Experience: •10+ years of QA experience, with at least 5 years in a leadership/management role •Comprehensive expertise in mortgage industry, loan processes, and mortgage technology ecosystem •Strong background in data quality assurance, data validation, and ETL testing •Expertise in test automation frameworks, continuous integration/continuous deployment (CI/CD) pipelines •Proficiency in programming languages (Java, Python, C#, JavaScript) for test automation Required Skills: •Lead QA engineers, test automation specialists, and data quality analysts across multiple mortgage data and AI initiatives •Oversee end-to-end testing of mortgage products including loan origination systems, pricing engines, risk assessment models, and data analytics platforms •Partner with engineering, product, and business teams to define quality requirements, acceptance criteria, and success metrics for multiple mortgage data and AI initiatives •Design and deploy automated testing solutions for data ingestion pipelines, ETL processes, and real-time mortgage data processing systems •Lead risk assessment and mitigation strategies for mortgage AI systems, including model drift detection, fairness auditing, and regulatory compliance validation •Drive continuous improvement initiatives to reduce defect escape rate, improve test coverage, and accelerate time-to-market •Mentor and develop QA team members in his team, fostering a culture of quality and continuous learning •Lead automation using next Gen AI tools and bring in AIDLC initiatives across teams. Qualifications: •Bachelor’s degree in computer science, Software Engineering, Information Technology, or related field Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!