Software Engineer III - Test Automation & Performance Engineer (Playwright, JMeter)

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III - Test Automation & Performance Engineer (Playwright, JMeter) at JPMorgan Chase within the Commercial & Investment Bank, you'll serve as a Performance Test Engineer to design, build, and execute performance and reliability testing for critical applications and services. This role blends hands-on performance engineering (load, stress, endurance, scalability) with test automation, including Playwright-based automation experience, to improve quality, resilience, and customer experience across our platforms.

Design and execute load, stress, spike, soak/endurance, and scalability tests for web applications and APIs. Develop and maintain performance test scripts using Apache JMeter , including parameterization, correlation, assertions, timers, and test data management. Execute and manage tests at scale using BlazeMeter (or comparable platform), including distributed runs, scheduling, and reporting. Leverage Playwright (TypeScript/JavaScript) for UI workflow automation where appropriate (e.g., validating critical user journeys, smoke checks during performance runs, test setup/teardown). Integrate performance and automation testing into CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI, Azure DevOps). Maintain reusable test frameworks, utilities, and shared libraries for performance testing. Instrument and monitor system behavior during tests using observability stacks such as Grafana (e.g., dashboards for latency percentiles, throughput, CPU/memory, saturation, error rates). Correlate performance test results with application and infrastructure metrics to diagnose bottlenecks (app, database, network, third-party dependencies). Produce performance test reports, trend analysis, capacity insights, and actionable remediation guidance. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. Practical experience with Apache JMeter for scripting and executing performance tests. Experience using BlazeMeter for running/managing JMeter tests (distributed execution, results analysis, reporting). Experience with Grafana for visualization and monitoring of performance test runs Experience in Playwright and UI automation concepts Strong understanding of performance engineering concepts: response time, throughput, concurrency, latency percentiles, SLAs/SLOs , and performance test design. Proficiency in one or more languages such as JavaScript/TypeScript, Java, Python, or C# . Experience with metrics/logging/tracing ecosystems (e.g., Prometheus, Splunk, ELK, Dynatrace, AppDynamics ). Experience