Performance Engineer

Job Description

Job Title: Performance Test Lead

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Location: Iselin, NJ (hybrid)

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Employment Type: W2 Contract

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Core Tools: LoadRunner, JMeter, AppDynamics, Splunk

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Tech Focus: Java, Kafka, Microservices, Batch Systems

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Programming: C, Java

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Summary:

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Performance Engineering lead with expertise in end-to-end performance testing and engineering for Java-based microservices and batch-processing workloads. Mot just an executor, drives the full lifecycle from requirement discovery to test strategy, execution, analysis, and tuning recommendations. Highly self-sufficient, proactive, and skilled at owning outcomes without constant direction.

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Key Skills & Strengths

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Leadership & Collaboration

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Works closely with application. Platform, infrastructure, and business teams to define performance scope, SLAs/SLOs, KPIs, and success criteria.

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Leads performance strategy discussion, clarifies ambiguous requirements, and translates them into measurable workloads.

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Communicates complex technical findings clearly to developers, managers, and business stakeholders.

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Self-Driven & Ownership Mindset

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Operates independently, identifies work, defines the approach, and executed end-to-end.

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Drives performance analysis and bottleneck without waiting for direction.

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Builds test plans, scenarios, data models, and monitoring dashboards autonomously.

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Raises risks early and provides actionable tuning recommendations.

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Performance Engineering Expertise

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Gather Performance Testing Requirements. Create and execute performance test strategy and test plan, interfacing with all stakeholders.

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LoadRunner expert ( Web Services, Java Vuser) and worked with Jmeter/Blazemeter tool

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Strong scripting capability, including advanced correlation, parameterization, think-time modeling, error handling, custom logic, and data-drive frameworks.

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Deep knowledge of Java performance tuning, GC behavior, thread/heap analysis.

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Solid understanding of microservices patterns, REST APIs, async workflows, and batch processing.

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Skilled in designing and executing load, stress, Endurance, and scalability tests.

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Should have conducted Chaos experiments and used AI /GHCP across the PT lifecycle.

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Cloud-Native & Container Platforms

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Experience with Kubernetes/OpenShift(OCP) for performance testing microservices.

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Capable of analyzing prod-level CPU/memory usage, HPA behavior, and autoscaling performance.

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Experienced with evaluating limits/requests, node saturation, and cluster-level constraints.

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Monitoring & Diagnostics

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AppDynamics: Flow maps, BT triage, transaction snapshots, hotspot identification, backend call profiling, and bottleneck isolation (DB, thread pools, async calls, dependencies).

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Splunk: Log analysis, anomaly detection, custom queries, and dashboard creation.

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Programming & Scripting

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C for LoadRunner scripting: Java for API/microservice performance; Bash/Python for automation and data processing.