Performance Test Lead

Job Description

o   Proficiency in tools like JMeter, LoadRunner, Gatling, NeoLoad, k6, or Blazemeter.

o   Experience scripting realistic load / user flows.

o   Good grasp of correlation, parameterization, and test data management.

o   Integration of performance scripts into CI / CD pipelines (Jenkins, GitHub Actions, Azure DevOps).

o   Hands-on with APM tools (Dynatrace, AppDynamics, New Relic, Datadog, Grafana + Prometheus / InfluxDB).

o   Ability to analyze system-level metrics : CPU, memory, disk I / O, GC activity, thread states, DB connections.

o   Familiarity with AWS / GCP / Azure scaling patterns.

o   Identify whether issues are in application code, database, network, or infrastructure.

o   Use profiling / debugging tools to drill down into bottlenecks.

o   Ability to define baselines, compare test runs, and provide data-driven insights.

o   Forecasting how the system will perform with growth in users, transactions, and data volumes.

o   Define performance testing strategy, scope, KPIs, and success criteria.

o   Align performance goals with business SLAs and user experience expectations.

o   Mentor and guide performance testers.

o   Review scripts, results, and reports to ensure quality.

o   Translate technical findings into business-friendly insights.

o   Clearly report risks, bottlenecks, and recommendations.

o   Work with developers, architects, DevOps, DBAs, and business analysts.

o   Define processes for planning → execution → reporting → tuning → re-testing.

o   Ensure consistency across projects.

o   Identify performance risks early and suggest mitigations.

Requirements

o   Proficiency in tools like JMeter, LoadRunner, Gatling, NeoLoad, k6, or Blazemeter.

o   Experience scripting realistic load / user flows.

o   Good grasp of correlation, parameterization, and test data management.

o   Integration of performance scripts into CI / CD pipelines (Jenkins, GitHub Actions, Azure DevOps).

o   Hands-on with APM tools (Dynatrace, AppDynamics, New Relic, Datadog, Grafana + Prometheus / InfluxDB).

o   Ability to analyze system-level metrics : CPU, memory, disk I / O, GC activity, thread states, DB connections.

o   Familiarity with AWS / GCP / Azure scaling patterns.

Requirements

Strong hands-on experience in Javascript, Spring Boot, micro-services, JPA and JPQL Strong design, development and performance tuning skills on databases such as DB2, or any other RDBS. Experienced in technology stack selection and the definition of solution, technology and integration architectures for mid to large sized applications and cloud hosted platforms Strong understanding of various design and architecture patterns. Must have worked on desktop application development. Exposure to debugging and troubleshooting complex issues related to memory management, multi-threaded applications, custom messaging systems etc. Experience of implementing and governing software engineering processes, practices, tools and standards for development teams(such as clean code concepts) Full SDLC experience leveraging Agile, TDD and BDD for building and rolling out highly transactional and highly available platforms hosted on-premise and on the cloud Proficient in effort estimation techniques; will actively support Leads and scrum masters on planning the implementation and will work with test leads on the definition of an appropriate test strategy for the realization of a quality solution Must be hands on technology and able to troubleshoot critical issues in design or code Familiarity with CI / CD pipelines, DevOps practices, and version control systems like Git. Understanding of containerization tools like Docker and Kubernetes. Proven experience leading and managing software development teams. Strong project management abilities, including planning, tracking, and delivering on time. Experience in stakeholder communication and reporting project status to senior management.