Hi,
Greetings from Xove Consulting
Senior QA Engineer / QE Lead Pittsburgh, PA
Location: Pittsburgh, PA (Hybrid/Onsite)
Experience: Minimum 6+ years Domain: Banking/Financial Services (Required)
Required Qualifications
- Minimum 6+ years of experience in Software Quality Engineering.
- Strong experience in the Banking/Financial Services domain, preferably in one or more of the following:
- Payments
- Lending
- Corporate & Institutional Banking
- Private Banking
- Hands-on experience with JIRA for test management, defect tracking, and Agile delivery.
- Strong automation experience using:
- Playwright
- Selenium
- Cucumber (BDD)
- Python
- Experience designing and implementing automation frameworks for functional and non-functional testing, including Accessibility (A11Y).
- Experience in Web and Mobile (iOS/Android) testing.
- Hands-on experience with Accessibility (WCAG 2.1/2.2 AA) testing.
- Experience leading or coordinating offshore QA teams.
- Ability to analyze business requirements and translate them into effective test scenarios and test cases.
- Strong collaboration skills with Business, Development, Product Owners, Business Analysts, and Production Support teams.
- Experience working in Agile/Scrum environments.
- Hands-on experience using GitHub Copilot, Microsoft Copilot, ChatGPT, Claude, Gemini, or similar AI-assisted development/testing tools.
- Practical experience leveraging AI throughout the QA lifecycle, including:
- Requirement analysis and test scenario generation.
- Test case design and optimization.
- Test automation script generation and maintenance.
- Test data generation.
- Defect analysis and root cause identification.
- Regression test optimization and impact analysis.
- Test documentation and reporting.
Preferred Qualifications
- Experience with LLM testing, including validation of AI-generated responses for accuracy, consistency, safety, and reliability.
- Experience testing AI-powered applications, chatbots, virtual assistants, or Generative AI solutions.
- Familiarity with Prompt Engineering concepts for designing and validating AI interactions.
- Knowledge of AI Agents, Agentic Workflows, and Model Context Protocol (MCP) concepts.
- Experience with AI-assisted test automation and intelligent test generation platforms.
- Experience with accessibility automation tools such as axe-core, Evinced, or similar solutions.
- Experience with CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).
- Experience with API testing using Postman or REST Assured.
- SQL/database validation experience.
- Exposure to cloud platforms such as AWS or Azure.
Key Responsibilities
- Lead end-to-end QA activities for enterprise banking applications.
- Review business requirements and prepare test strategies, test plans, test scenarios, and test cases.
- Design, develop, and maintain scalable automation frameworks using Playwright, Selenium, Cucumber, and Python.
- Design automation solutions for functional, regression, mobile, accessibility, and API testing.
- Drive the adoption of AI and Copilot tools to improve QA productivity, automation development, test coverage, and defect analysis.
- Identify opportunities to integrate AI into the QA lifecycle to improve quality, efficiency, and release velocity.
- Mentor QA engineers and coordinate testing activities across onsite and offshore teams.
- Collaborate with Business, Development, Product Owners, and Production Support teams throughout the SDLC.
- Execute functional, integration, regression, mobile, accessibility, and non-functional testing.
- Track testing progress, risks, metrics, and defects using JIRA.
- Support continuous improvement initiatives through automation, AI adoption, and QA best practices.