Performance Test Lead

Performance Engineering Lead

Performance Engineering lead with expertise in end-to-end performance testing and engineering for Java-based microservices and batch-processing workloads. Not 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.

Key Skills & Strengths

Leadership & Collaboration

• 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.

Self-Driven & Ownership Mindset

• Operates independently, identifies work, defines the approach, and executes end-to-end.
• Drives performance analysis and bottlenecks without waiting for direction.
• Builds test plans, scenarios, data models, and monitoring dashboards autonomously.
• Raises risks early and provides actionable tuning recommendations.

Performance Engineering Expertise

• Gather performance testing requirements. Create and execute performance test strategy and test plan, interfacing with all stakeholders.
• LoadRunner expert ( 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, GC 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.

Cloud-Native & Container Platforms

• 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.

Monitoring & Diagnostics

• 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.

Programming & Scripting

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