Senior Pega QA Automation Engineer / QA Lead

Key Responsibilities: Perform hands-on testing of Pega applications, including: Case types, stages, and case lifecycles Workflows, assignments, and alternate paths Business rules and decision logic Role-based access and security User interface behavior and validations Data handling and exception scenarios Notifications, SLAs, and escalations Develop and execute functional, integration, regression, API, database, end-to-end, performance, and production sanity tests. Design and maintain reusable automation using Selenium, Playwright, Java, JavaScript, or TypeScript. Review the existing automation framework and identify: Coverage gaps Framework vulnerabilities Unstable or flaky tests Maintenance challenges Opportunities to improve execution reliability Define and implement risk-based automation and regression coverage. Perform API testing using REST Assured, Postman, Newman, or comparable tools. Validate data and integrations using SQL and database queries. Integrate automated test suites into CI/CD pipelines and establish appropriate quality gates. Participate in test planning, requirements analysis, traceability, execution, and release readiness assessments. Lead defect triage, root cause analysis, fix verification, and regression impact assessment. Coordinate UAT activities and communicate testing status, risks, dependencies, and recommendations. Collaborate closely with product owners, developers, architects, DevOps, operations, and business stakeholders. Mentor QA engineers and progressively assume responsibility for the overall QA strategy and delivery model. Represent QA confidently in discussions involving senior managers and executive stakeholders. Ensure QA is not a bottleneck by proactively identifying dependencies, risks, environment issues, and test data needs. Performance and Load Testing Responsibilities Develop performance test strategies based on business-critical workflows, production usage patterns, and nonfunctional requirements. Create realistic workload models covering: Concurrent users Transaction volumes Ramp-up and ramp-down patterns Peak-load periods Sustained business activity Design and execute: Load testing Stress testing Endurance or soak testing Spike testing Scalability testing Baseline and capacity testing Develop and maintain performance scripts using Apache JMeter and, preferably, LoadRunner. Configure parameterization, correlation, test data management, pacing, think time, and dynamic session handling. Monitor and analyze: Response times and percentiles Throughput and transaction rates Concurrent user behavior Error rates and timeouts CPU and memory utilization Database performance Middleware and API latency Application and infrastructure bottlenecks Compare performance results against SLAs, baselines, and expected production behavior. Work with development, architecture, database, infrastructure, and DevOps teams to identify root causes and recommend improvements. Prepare clear performance reports explaining observations, bottlenecks, risks, and optimization recommendations. Validate performance improvements through controlled retesting. Integrate performance tests into CI/CD or scheduled test execution pipelines where appropriate. Mentor QA team members on performance testing practices, tools, and result analysis.

Required Qualifications: 5+ years of overall software quality engineering experience. Strong hands-on experience testing enterprise Pega applications. Strong understanding of Pega case management, workflows, business rules, roles, integrations, and exception handling. Demonstrated experience with UI, API, database, integration, and end-to-end testing. Strong automation experience using: Selenium WebDriver with Java Playwright with JavaScript or TypeScript TestNG, Cucumber BDD, or comparable frameworks Page Object Model and reusable framework design Strong API testing experience using REST Assured, Postman, and Newman. Strong SQL and backend data validation skills. Experience reviewing and improving existing automation frameworks. Experience integrating automation into CI/CD pipelines. Working knowledge of performance testing principles, workload modeling, and bottleneck analysis. Strong understanding of test strategy, RTM, defect management, release readiness, and risk-based testing. Excellent verbal and written communication skills. Ability to explain technical concepts clearly using practical project examples. Strong ownership, prioritization, troubleshooting, and stakeholder management capabilities. Experience working with distributed onshore and offshore teams.

Preferred Qualifications: Strong hands-on experience with Apache JMeter and LoadRunner. Experience creating and executing enterprise-scale load and performance tests. Experience analyzing application, API, database, and infrastructure performance. Experience with monitoring or observability tools such as Grafana, Splunk, Dynatrace, AppDynamics, or comparable platforms. Pega certification. Previous experience as a QA Lead or Test Lead. Experience leading QA for highly visible or business-critical enterprise programs. Experience with security and accessibility testing. Experience working directly with architects, senior developers, and executive stakeholders. Familiarity with AI-assisted testing and modern quality engineering practices.

Ideal Candidate: The ideal candidate is not limited to managing test cases or reporting defects. We are looking for someone who can understand the business problem, evaluate the complete workflow, identify quality and performance risks, recommend practical solutions, and remain hands-on in implementing those recommendations. The candidate must be able to clearly explain: What problem they personally solved How they analyzed the situation What solution they implemented Which technologies they used How they identified performance or scalability risks What measurable business or delivery benefit was achieved