Why This Role Stands Out
This hybrid Performance Test Lead role offers a fantastic opportunity to drive end-to-end performance engineering for cutting-edge Java microservices, leveraging tools like LoadRunner and JMeter. You'll thrive here if you are a self-driven leader adept at collaborating with diverse teams and translating complex technical findings into actionable insights, with the chance to significantly impact system reliability and user experience. Apply now to take ownership of critical performance initiatives and advance your career in a dynamic environment.
Quick Overview
Job Description
Position : Performance Test Lead
Location: Woodbridge/Iselin, NJ (Hybrid Onsite)
Duration: 12+ Months Contract
Core Tools: LoadRunner, JMeter, AppDynamics, Splunk
Summary:
- Works closely with application. Platform, infrastructure, and business teams to define performance scope, SLAs/SLOs, KPIs, and success criteria.
- Leads performance strategy discussion, clarifies ambiguous requirements, and translates them into measurable workloads.
- Communicates complex technical findings clearly to developers, managers, and business stakeholders.
- Operates independently, identifies work, defines the approach, and executed end-to-end.
- Drives performance analysis and bottleneck without waiting for direction.
- Builds test plans, scenarios, data models, and monitoring dashboards autonomously.
- Raises risks early and provides actionable tuning recommendations.
- Gather Performance Testing Requirements. Create and execute performance test strategy and test plan, interfacing with all stakeholders.
- LoadRunner expert (HTTP/HTML, Web Services, Java Vuser) and worked with Jmeter/Blazemeter tool
- Strong scripting capability, including advanced correlation, parameterization, think-time modeling, error handling, custom logic, and data-drive frameworks.
- Deep knowledge of Java performance tuning, behavior, thread/heap analysis.
- Solid understanding of microservices patterns, REST APIs, async workflows, and batch processing.
- Skilled in designing and executing load, stress, Endurance, and scalability tests.
- Should have conducted Chaos experiments and used AI /GHCP across the PT lifecycle.
- Experience with Kubernetes/OpenShift(OCP) for performance testing microservices.
- Capable of analyzing prod-level CPU/memory usage, HPA behavior, and autoscaling performance.
- Experienced with evaluating limits/requests, node saturation, and cluster-level constraints.
- AppDynamics: Flow maps, BT triage, transaction snapshots, hotspot identification, backend call profiling, and bottleneck isolation (DB, thread pools, async calls, dependencies).
- Splunk: Log analysis, anomaly detection, custom queries, and dashboard creation.
- C for LoadRunner scripting: Java for API/microservice performance; Bash/Python for automation and data processing.
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