The specific responsibilities of a performance engineer managing a large, distributed application built on microservices, spring boot, and Google Cloud may include:
Conduct system performance testing to ensure system reliability, capacity, and scalability.
Perform performance testing like Load Testing, Endurance Testing, Volume Testing, Scalability Testing, Spike Testing, and Stress Testing.
Gather performance requirements using templates, logs, and monitoring tools.
Work with domain teams to understand workload models for each system and gather performance Requirements.
Create performance test plans and scenarios and develop test scripts in JMeter/K6/Gatling to meet the objectives of the performance test plan.
Perform Load tests using JMeter/Load Runner and analyze root causes of performance issues and recommend corrective actions.
Perform initial analysis using performance monitoring tool and identify potential system and resources bottlenecks
Shift left and first-time quality - Automate Performance testing and integrate it to the existing CI/CD pipelines for a better quality and engineering experience
Setup performance test and performance regression testing guidelines and standards
Perform Chaos testing using litmus chaos or other tools & set up standards for CI/CD integration
Participate in capacity planning, demand forecasting, software performance analysis and tuning.
Analyze thread dumps, heap dumps, kernel logs, network stats, APM metrics, application logs to troubleshoot CPU/Memory/Resource hot spots, API latency and application/platform health
Analyze and identify root-cause and fix complex performance problems involving multiple teams, networks, and software in GCP that relate to scaling and performance.
QUALIFICATIONS
Four-year college degree in Computer Science or Equivalent.
Minimum of 8+ years working on performance testing and engineering of large-scale eCommerce/web applications
Experience with RESTful APIs and microservices platform is a must
Demonstrated capability to drive out test strategies in a global organization and to oversee the testing team activities and initiatives for best practices
Deep understanding of container technologies and experience in designing, investigating, analyzing and troubleshooting large-scale enterprise systems
Experience with Profiling and tracing tools like Yourkit, JProbe, AppDynamics, New Relic, Splunk for memory and CPU optimization.
Experience in troubleshooting performance issues in distributed systems.
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