Job SummaryWe are looking for a skilled Lead Performance Engineer to design, develop, and execute performance testing strategies for enterprise and cloud-based applications. The ideal candidate will have hands-on experience with JMeter, LoadRunner, K6, Gatling, Datadog, Dynatrace, and solid expertise in API, web, and automation testing. The candidate will work closely with development, QA, DevOps, and architecture teams to ensure applications are scalable, reliable, and performant.
Key Responsibilities- Design, develop, and maintain performance test scripts using Apache JMeter or similar tools for web, API, and backend systems.
- Conduct load, stress, endurance, and scalability testing for applications and microservices.
- Design, develop, and maintain automated test suites for Next.js applications, covering unit, integration, and E2E tests.
- Perform API performance testing (REST/JSON, SOAP) and integrate with automation frameworks.
- Analyze test results, identify performance bottlenecks, and provide actionable recommendations.
- Monitor system performance metrics (CPU, memory, GC, I/O, network) during test execution.
- Collaborate with development and DevOps teams to optimize application and infrastructure performance.
- Integrate performance tests into CI/CD pipelines.
- Prepare detailed performance test reports and present findings to stakeholders.
- Continuously improve testing frameworks, tools, and best practices.
Required Skills & Experience- Strong experience in performance testing and engineering best practices.
- Hands-on expertise with Apache JMeter (test plans, scripting, listeners, distributed testing).
- Frontend performance testing experience on Next.js applications.
- Design and deployment of performance test frameworks.
- Experience with API automation and performance testing (REST, SOAP).
- Knowledge of HTTP/HTTPS protocols, JSON, XML.
- Experience with performance monitoring tools (APM, server logs, JVM monitoring).
- Familiarity with CI/CD tools (Jenkins, Git, etc.).
- Strong analytical, troubleshooting, and communication skills.
Competencies- Ability to work effectively in cross-functional teams.
- Strong problem-solving and analytical mindset.
- Detail-oriented with a focus on delivering high-quality performance testing outputs.
- Excellent documentation and reporting skills.
Preferred Skills- Experience with cloud-based applications and infrastructure (AWS, Azure, or GCP).
- Knowledge of containerized environments (Docker, Kubernetes).
- Familiarity with modern monitoring and observability tools (Datadog, Dynatrace, Prometheus, Grafana).
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