Job Title : Senior Performance Test Engineer (JMeter)

Location : Pune

Experience Required : 7+ Years

Role Overview :

We are seeking a highly skilled Performance Test Engineer with deep expertise in JMeter and related performance testing frameworks. The role involves evaluating, optimizing, and ensuring the scalability, reliability, and resilience of enterprise-grade applications. The engineer will collaborate with cross-functional teams to design performance test strategies, execute large-scale performance testing scenarios, analyze bottlenecks, and recommend optimizations across the full technology stack.

Key Responsibilities :

Performance Testing & Benchmarking :

- Design, develop, and execute performance, load, stress, endurance, spike, and chaos tests using JMeter and complementary tools (e.g., Gatling, jProfiler).

- Define test strategies, workload models, and SLAs aligned with business use cases and non-functional requirements.

- Benchmark system throughput, latency, and error rates against industry standards.

Monitoring, Analysis & Bottleneck Identification :

- Implement real-time performance monitoring using tools such as Dynatrace, Grafana, Prometheus, AppDynamics, or New Relic.

- Conduct root cause analysis (RCA) of performance issues at the application, middleware, database, and infrastructure levels.

- Analyze DB AWR, ASH, and execution plans to diagnose SQL inefficiencies and recommend indexing, query rewrites, or schema optimizations.

- Monitor JVM performance, memory leaks, garbage collection, thread dumps, and connection pool utilization.

Required Skills & Experience :

Performance Engineering Expertise :

- 7+ years of experience in Performance Engineering/Testing.

- Strong hands-on experience with JMeter (mandatory), plus exposure to Gatling, Locust, or k6 is desirable.

- Expertise in different types of testing: Load, Stress, Soak/Endurance, Chaos, and Scalability testing.

- Strong debugging and troubleshooting skills in high-volume transaction systems.

Technical Skills (Hands-On) :

- Languages: Core Java (advanced), Python (automation scripting).

- Frameworks: Spring, Spring Boot, Spring Cloud, Hibernate, JPA, JTA.

- Messaging Systems: Kafka, IBM MQ, ActiveMQ, JMS.

- Microservices & APIs: REST services, XML/JSON, Web Services (SOAP/REST).

- Application Servers: WebSphere, WebLogic, Tomcat, JBoss.

- Databases: Strong SQL skills, DB performance tuning, AWR/ASH analysis.

- Profiling & Monitoring: jProfiler, VisualVM, Dynatrace, AppDynamics, Grafana, ELK stack.

- Build & Unit Testing: Gradle, Maven, JUnit, Mockito.

- Version Control & CI/CD: Git, Jenkins, Azure DevOps, GitLab.

Additional Preferred Knowledge

- Understanding of distributed architectures, caching frameworks (Hazelcast, Redis).

- Familiarity with containerization and orchestration (Docker, Kubernetes, OpenShift).

- Awareness of cloud-native performance optimization (AWS, Azure, or GCP).