Performance Tester-PL

Job Description

• Develop, execute, and analyze performance tests involving complex workloads and large simulated test datasets for distributed systems running in Kubernetes environments.
• Implement shift-left automated performance and resiliency testing as part of the Pull Request (PR) analysis process to prevent performance defects from reaching production.
• Develop automation tools or leverage open-source frameworks such as Apache JMeter to automate performance testing, analyze results, and report issues.
• Define performance testing strategies, establish benchmarks, publish performance metrics, and validate performance-related requirements.
• Prepare and present performance benchmarks, best practices, test results, comparisons, and detailed analysis to stakeholders and engineering teams.
• Analyze performance test results to identify bottlenecks, root causes, and opportunities for system optimization.
• Provide day-to-day technical guidance and hands-on support to other engineers on performance testing practices and tools.
• Collaborate with development, DevOps, and engineering teams to improve system scalability, reliability, and overall performance.
• Integrate automated performance and resiliency tests into CI/CD pipelines and development workflows.

Skills & Qualifications

Must-Have

• Strong hands-on experience in Performance Testing and performance engineering.
• Proficiency in Apache JMeter or similar performance testing tools.
• Experience in workload modelling, load testing, stress testing, and scalability testing.
• Knowledge of Kubernetes and distributed system architectures.
• Experience with performance test automation and shift-left testing approaches.
• Ability to analyze performance metrics, identify bottlenecks, and recommend optimizations.
• Experience with CI/CD pipelines and automated testing integration.
• Strong analytical, troubleshooting, communication, and problem-solving skills.
• 4–7 years in Performance Testing / Performance Engineering.
• Location: Bangalore.
• Notice Period: Immediate joiners to candidates with a maximum of 15 days' notice.
• Strong communication skills and the ability to collaborate effectively with cross-functional teams.

Preferred

• Experience with performance and resiliency testing in cloud-native environments.
• Familiarity with monitoring, logging, and observability tools.
• Knowledge of scripting languages such as Python, Java, or similar for test automation.
• Experience working with large-scale systems and complex test datasets.
• Understanding of microservices architecture and system reliability.

Skills: workload modelling,python,java,stress testing,apache jmeter,kubernetes,performance analysis,performance testing,distributed systems,test automation,ci/cd,scalability testing,shift-left testing,microservices,load testing