SQA Analyst

The SQA Engineer leads quality strategy, test planning, and execution across complex software releases. This role drives automation coverage, risk-based testing, and defect prevention while mentoring team members and coordinating with engineering and product stakeholders. The position establishes test frameworks, defines acceptance criteria, and ensures traceability from requirements through deployment. The engineer advances continuous integration practices, improves test data management, and champions measurable quality metrics. Success requires rigorous analysis, clear communication, and disciplined delivery to meet schedule, compliance, and reliability goals.

Job Description

• Establish automation testing processes and procedures in collaboration with business teams, development, and IT Support.
• Build subject matter expertise in assigned systems to effectively design and execute tests.
• Develop automated test scripts and reusable code modules, incorporating AI-driven testing techniques where applicable.
• Contribute to defining testing processes and procedures with cross-functional input. Identify and analyze system defects through functional, automated regression, performance, and AI-assisted testing.
• Conduct test scenario reviews to ensure compliance with Asurion testing standards.
• Apply detailed development knowledge to deliver high-quality outcomes.
• Troubleshoot and resolve issues in existing test scripts with speed and accuracy.
• Execute automated functional tests and document results using established tools and processes.
• Log and track defects in accordance with defined reporting standards.
• Provide support for non-production (NON-PROD) environment issues, working directly with IT teams to resolve them.
• Collaborate with onshore and offshore teams to support code integration activities.
• Foster customer satisfaction and maintain high service standards across Asurion and its clients.
• Operate as a hands-on individual contributor (IC), owning deliverables end-to-end.
• Actively collaborate with peers and stakeholders, providing and receiving feedback as needed.
• Take ownership of assigned work, ensuring a strong customer-first approach.
• Drive continuous improvement through execution excellence, CI/CD optimization, and adoption of AI-based solutions.

Quality Metrics and Continuous Improvement

• Define, establish, and track key quality metrics and dashboards, including defect leakage, automation coverage, defect density, test execution efficiency.
• Leverage data analytics and AI-driven insights to identify trends, predict risks, and improve test effectiveness.
• Drive continuous improvement by identifying gaps, optimizing processes, and aligning quality metrics with business objectives and release readiness criteria.
• Communicate quality status, risks, and actionable insights to stakeholders through regular reporting.

Qualifications and Experience
Bachelor's degree with at least 6-8 years of experience in software quality engineering or test engineering roles.
Must have: Experience with Microsoft Dynamics D365 testing.
Must have: Minimum of 3 years of hands-on experience with automated testing tools (including Puppeteer).
Must have : Experience with AI/ML-based testing tools or AI-assisted automation frameworks.
Must have : Demonstrated experience building and scaling automated testing frameworks.
Must have : Experience using Azure DevOps and JIRA.
Proficiency in Python for test automation and scripting.Strong collaboration skills with experience partnering closely with engineering leadership.