Performance Test Lead

Position : Performance Test Lead

Location: Iselin, NJ/Jersey City, 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.