Performance Testing Lead

Position: Performance Testing Lead

• Own and execute

  end-to-end performance testing activities

  requirements analysis, test design, scripting, execution, monitoring, and reporting.
• Develop and maintain

  performance test scripts

  for

  core and digital banking applications

  (e.g., Finacle, FLEXCUBE, OBDX, T24, TCS BaNCS, Internet/Mobile Banking, Payments).
• Define and implement

  workload models

  that mimic real-world user behavior and transaction volumes.
• Conduct

  various types of performance tests

  load, stress, spike, endurance/soak, and scalability.
• Utilize

  performance test tools

  such as JMeter, LoadRunner, or Neoload to execute tests.
• Integrate performance tests into

  CI/CD pipelines

  for continuous performance validation.
• Use monitoring and diagnostics tools (Dynatrace, AppDynamics, Grafana, InfluxDB, Splunk, ELK) to capture application and infrastructure performance.
• Perform

  root cause analysis of bottlenecks

  across

  application, database, middleware, and network layers

  .
• Collaborate with developers, DBAs, architects, and system administrators to recommend

  tuning and optimization

  .
• Prepare and present

  detailed technical reports

  on performance test findings and recommendations.
• Mentor junior performance testers and provide technical guidance.

Required Skills & Experience

• 5+ years of hands-on experience

  in Performance Testing & Engineering.
• Strong expertise in

  performance testing tools

  : JMeter (mandatory) and at least one of LoadRunner/Neoload.
• Hands-on scripting and scenario design for

  banking applications

  (core banking, payments, internet/mobile banking, OBDX, T24, Finacle, FLEXCUBE, TCS BaNCS preferred).
• Solid knowledge of

  protocols

  (HTTP/HTTPS, Web Services, REST, SOAP, JDBC, MQ, Kafka).
• Strong experience with

  monitoring & profiling tools

  : Dynatrace, AppDynamics, Grafana, InfluxDB, Splunk, etc.
• Good understanding of

  application stacks

  : Java/J2EE, WebLogic, WebSphere, Tomcat, Microservices, Kubernetes, Docker.
• Strong knowledge of

  databases

  (Oracle, SQL Server, DB2, Exadata) and SQL query tuning for performance analysis.
• Familiarity with

  performance test strategies

  : workload modeling, Poisson distribution, SLA definition, baseline establishment.
• Ability to

  analyze CPU, memory, GC logs, thread dumps, DB execution plans

  to identify bottlenecks.
• Exposure to

  cloud-based environments (AWS, Azure, GCP)

  preferred.

Preferred Qualifications

• Tool certifications (JMeter, LoadRunner, Neoload).
• Cloud certifications (AWS/Azure/GCP).
• Exposure to

  performance engineering concepts

  (capacity planning, scalability assessments).
• Prior experience in BFSI domain applications is an added advantage.

How to Apply

preeti.hb@yethi.in