QA Performance Lead - JMeter/Gatling

Actively Reviewing

SMC

Delhi Full-Time 4–8 yrs exp Posted 12 hours ago · Apply by Sep 14, 2026

Job Description

Job Summary

We are seeking a skilled QA Performance Lead to design, execute, and analyze performance, load, stress, and scalability tests for our applications. You will be responsible for identifying performance bottlenecks and working closely with development, DevOps, and QA teams to ensure high-performing and reliable software systems.

Key Responsibilities

Design, develop, and maintain performance test plans, test cases, and test scripts.
Execute load, stress, endurance, and scalability tests using performance testing tools (e.g., JMeter, Gatling, LoadRunner, k6).
Analyze performance test results and provide detailed reports with insights and recommendations.
Identify performance bottlenecks across the application stack - frontend, backend, APIs, database, network, and infrastructure.
Collaborate with development, architecture, and DevOps teams to tune system performance and resolve issues.
Define performance KPIs (e.g., response time, throughput, error rate, resource usage).
Integrate performance testing into CI/CD pipelines to enable continuous performance validation.
Monitor application performance in pre-production and production environments (e.g., using APM tools like New Relic, Dynatrace, Grafana, Prometheus).
Stay current with industry trends and tools in performance engineering and testing.

Required Skills & Qualifications

Bachelors degree in Computer Science, Engineering, or a related field.
7-10 years of experience in performance engineering or performance testing.
Proficiency in performance testing tools such as JMeter, Gatling, LoadRunner, or k6.
Strong scripting/programming skills (e.g., Python, Java, Bash, JavaScript).
Experience with performance monitoring and profiling tools.
Solid understanding of HTTP, REST APIs, database queries, and web technologies.
Experience with CI/CD pipelines and DevOps tools (e.g., Jenkins, GitLab CI, Docker, Kubernetes).
Strong analytical skills to interpret performance data and pinpoint system bottlenecks.
Excellent communication and documentation skills.

Preferred Qualifications

Experience with cloud-based performance testing (AWS, Azure, or GCP).
Familiarity with infrastructure monitoring tools (e.g., Grafana, Prometheus, ELK stack).
Experience with containerized and microservices-based architectures.
Exposure to application profiling tools or JVM monitoring (e.g., VisualVM, JFR, YourKit).

Work Environment

Agile development environment with cross-functional teams.
Fast-paced projects requiring collaboration across engineering, QA, and DevOps teams.
May require flexible hours for performance testing under production-like loads.

(ref:hirist.tech)