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# Software QA Engineer L4

- **Company:** Frontdoor
- **Location:** United States (Remote available)
- **Salary:** $103,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Software Bug Management, Code Coverage, Software Quality, Computer Programming, System Configuration, Continuous Integration, Data Validation, Relational Databases, DevOps, Protocol Buffers, Load Testing, Machine Learning, Salesforce.Com, Software Engineering, SQL Databases, Software Testing Automation Framework, Systems Integration, Test Case, Performance Testing, Generative AI, Build Management, Data Management, Virtual Agents, Restful APIs, User Administration, Programming Languages
- **Published:** September 26, 2026
- **Apply:** https://www.dice.com/job-detail/2209e04a-4683-4f11-8834-c3412707b27b

## About the Role

The ideal candidate is passionate about quality engineering, automation, and continuous improvement. They possess strong analytical and communication skills, thrive in a collaborative environment, and are committed to driving testing excellence and quality standards across the organization., * Strong hands-on experience in functional testing, including test planning, test case design, execution, and defect management.

 * Proven experience with UI test automation and a solid understanding of automation frameworks and best practices.
 * Experience testing REST APIs and protobuf-based services, including automation of API test scenarios.
 * Demonstrated ability to design and build test automation frameworks and integrate them into CI/CD pipelines.
 * Strong programming and problem-solving skills, with proficiency in Java preferred (other modern programming languages are also considered).
 * Working knowledge of relational databases, SQL, and data validation techniques.
 * Solid understanding of Software Testing Life Cycle (STLC) and Defect Life Cycle processes.
 * Experience working in Agile/Scrum development environments.

Preferred Skills: ** **

 * Experience with performance testing, load testing, and DevOps practices.
 * Foundational knowledge of Agentic AI, Retrieval-Augmented Generation (RAG), and their applications in software quality engineering and testing.
 * Experience testing AI-enabled applications, machine learning models, or intelligent systems.
 * Salesforce Administration expertise, including user management, security and access controls, reports and dashboards, workflow automation, and platform configuration.
 * Knowledge of cloud platforms and modern software delivery practices., * A self-motivated and results-oriented professional who takes ownership and drives quality initiatives.
 * A collaborative team player with excellent communication and stakeholder management skills.
 * A continuous learner who stays current with emerging technologies, automation trends, AI innovations, and quality engineering best practices.
 * Someone who is passionate about elevating product quality and delivering exceptional customer experiences.

## Description

Summary :As a Quality Engineer (QE), you will partner closely with Product Managers, Developers, and cross-functional teams to ensure the delivery of high-quality, reliable, and scalable software solutions. You will play a key role in validating product functionality, performance, and user experience through a combination of manual and automated testing practices., * Design, develop, maintain, and execute comprehensive test strategies, including functional, smoke, regression, integration, and performance testing.

 * Create and maintain test cases with clear traceability to business requirements and technical specifications.
 * Investigate, troubleshoot, and analyze software defects by reviewing application behavior, logs, and system integrations.
 * Develop, maintain, and enhance automated test suites and frameworks to improve test coverage and efficiency.
 * Collaborate with Product Managers, Developers, and other stakeholders throughout the software development lifecycle to ensure quality is built into every release.
 * Identify opportunities to improve testing processes, tools, and methodologies, and drive quality engineering best practices.
 * Monitor, analyze, and communicate testing progress, quality metrics, and release readiness to stakeholders.
 * Contribute to test data management, environment setup, and CI/CD pipeline integration.
 * Mentor team members and promote a culture of quality, innovation, and continuous learning.