Senior Pega QA Automation Engineer / QA Lead

NForceOne · Remote, United States

Position Summary

NForce One is seeking an experienced Senior Pega QA Automation Engineer / QA Lead to support a critical, high-visibility enterprise application.

The selected candidate will initially work as a hands-on QA engineer, taking direct responsibility for functional testing, automation, integration

validation, performance testing, defect investigation, and release readiness. Based on demonstrated performance, ownership, and collaboration, the

individual will progressively assume broader QA leadership responsibilities.

This role requires someone who can independently understand complex business workflows, communicate effectively with technical and business

stakeholders, and take ownership of quality without waiting for detailed day-to-day direction.

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 performanceMiddleware 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