Performance Testing Lead

3 days ago

Bengaluru, Karnataka, India Appiness Interactive Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Summary

We are seeking a highly skilled Performance Test Lead to design, execute, and lead performance

testing strategies for large-scale applications. The ideal candidate will have deep expertise in

industry-standard performance testing tools, CI/CD integration, APM monitoring, and system

metrics analysis. This role requires strong technical leadership, mentoring skills, and the ability

to work closely with developers, architects, and infrastructure teams to ensure application

scalability, stability, and performance.

Key Responsibilities

● Lead end-to-end performance testing initiatives for applications and systems.

● Design, script, and execute realistic load/user flows using performance testing tools such

as JMeter, LoadRunner, Gatling, NeoLoad, k6, or Blazemeter.

● Implement correlation, parameterization, and test data management for accurate test

coverage.

● Integrate performance testing into CI/CD pipelines using Jenkins, GitHub Actions, or

Azure DevOps.

● Monitor and analyze performance using APM tools like Dynatrace, AppDynamics, New

Relic, Datadog, Grafana, and Prometheus/InfluxDB.

● Conduct deep-dive analysis of system metrics (CPU, memory, garbage collection,

database connections, thread states, etc.).

● Identify performance bottlenecks across application, database, network, and

infrastructure layers.

● Mentor performance testers, review scripts/results, and provide actionable

recommendations.

● Collaborate with developers, architects, DBAs, and operations teams to resolve

bottlenecks.

Required Skills

● Proven expertise in performance testing with tools like JMeter, LoadRunner, Gatling,

NeoLoad, k6, or Blazemeter.

● Strong experience in scripting realistic load/user flows.

● In-depth knowledge of correlation, parameterization, and test data management.

● Hands-on experience with CI/CD integration (Jenkins, GitHub Actions, Azure DevOps).

● Practical knowledge of APM tools (Dynatrace, AppDynamics, New Relic, Datadog,

Grafana + Prometheus/InfluxDB).

● Familiarity with scaling patterns in AWS, GCP, or Azure.

● Ability to diagnose performance issues across application, DB, network, and

infrastructure layers.

● Excellent communication and reporting skills for stakeholders and technical teams.

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