Senior Quality Analyst, Assistant Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with Product, Engineering, Operations, and Business teams to achieve a comprehensive understanding of product workflows, business rules, integrations, and risk factors.

• Design and execute AI-driven QA solutions that assist in identifying, predicting, and preventing defects at early stages of the SDLC.

• Integrate AI capabilities into the product and QA ecosystem to enhance monitoring, validation, anomaly detection, regression analysis, and quality insights.

• Utilize AI tools and frameworks for:

• - Intelligent test case generation

• - Automated test script creation and maintenance

• - Defect prediction and root cause analysis

• - Test optimization and prioritization

• - Requirement-to-test traceability

• - Regression impact analysis

• - Automated validation and data quality checks

• Develop and improve automated testing frameworks for UI, API, database, and batch processing systems.

• Promote shift-left quality practices and incorporate AI-enabled testing into CI/CD pipelines.

• Examine production trends, defect leakage, audit results, and operational data to suggest preventive quality controls.

• Work alongside development teams to implement proactive quality gates and self-healing automation solutions.

• Assess emerging AI technologies, tools, and accelerators for potential integration within QA and engineering processes.

• Produce dashboards, reports, and metrics that illustrate QA efficiency improvements, defect reduction, automation coverage, and AI-driven enhancements.

• Guide QA team members on AI-assisted testing strategies and contemporary quality engineering practices.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline.

• Over 5 years of experience in QA, Quality Engineering, or Test Automation positions.

• Practical experience in implementing AI/ML-enabled solutions within QA or SDLC processes.

• In-depth knowledge of software testing methodologies, SDLC, STLC, Agile, and DevOps practices.

• Familiarity with test automation tools/frameworks such as Selenium, Playwright, Cypress, UFT, or similar.

• Extensive experience in API testing, database validation, and backend testing.

• Experience using AI-assisted development/testing tools like GitHub Copilot, OpenAI APIs, Azure AI, LangChain, Testim, Mabl, Functionize, or comparable platforms.

• Proficient in at least one programming/scripting language, such as Python, Java, JavaScript, or C#.

• Experience integrating automated testing into CI/CD pipelines using tools like Azure DevOps, Jenkins, GitHub Actions, or similar.

• Strong analytical, problem-solving, and communication skills.

🏝️ Benefits

• Please visit https://www.exlservice.com/us-careers-and-benefits for more information on benefits and what we offer