Performance Test Engineer
2 weeks ago
Short Description for Internal Candidates:
- Performance Engineer with deeper hands-on experience in e-commerce domain in cloud
Description for Internal Candidates:
A Java microservices, cloud native, performance test engineer is responsible for designing, implementing, and executing performance tests for microservices-based applications that run on cloud infrastructure. This may involve the use of tools such as JMeter, Gatling, or other performance testing software to simulate and measure the performance of the system under different loads and conditions. The engineer will also be responsible for analyzing the results of the tests and providing recommendations for performance improvements. Additionally, this role may also involve working with development teams to optimize the performance of their code and working with system administrators to ensure that the underlying infrastructure is properly configured for optimal performance. This role will usually require strong Java programming skills and experience with microservices, cloud infrastructure and technologies, and performance testing methodologies.
Responsibilities for Internal Candidates:
- 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.
- Web Development Tools: Web development tools such as browser developer tools, Fiddler, and Wireshark are useful for capturing and analyzing network traffic, identifying issues related to webpage load and performance, and troubleshooting issues related to web page functionality.
- Performance Testing Tools: Performance testing tools such as JMeter, LoadRunner, and Gatling are used to design and execute performance tests, generate reports, and analyze test results.
- Cross-Browser Testing Tools: Cross-browser testing tools such as BrowserStack, Sauce Labs, and CrossBrowser Testing are used to test web pages across different browsers and operating systems.
- Accessibility Testing Tools: Accessibility testing tools such as Axe, Wave, and Tenon are used to test web pages for compliance with accessibility standards and guidelines.
- Security Testing Tools: Security testing tools such as OWASP ZAP, Burp Suite, and Acunetix are used to identify and address security vulnerabilities in web applications.
- Visual Regression Testing Tools: Visual regression testing tools such as Applitools and Percy are used to detect visual differences between web page versions, ensuring that changes made to the web page do not affect the user experience.
- Code Quality Tools: Code quality tools such as ESLint, Prettier, and SonarQube are used to ensure that the web page code meets coding standards, is maintainable, and is scalable.
- Knowledge of Web Technologies: It is essential to have knowledge of web technologies, including HTML, CSS, JavaScript, and HTTP. This knowledge will help in understanding how web pages are built and how they function.
- Analytical Skills: Strong analytical skills are necessary to interpret data and identify patterns, trends, and issues related to webpage load and performance.
- Troubleshooting Skills: The ability to troubleshoot issues related to webpage load and performance is critical to identify the root cause of performance issues and take corrective actions.
- Communication Skills: Effective communication skills are essential to collaborate with developers, testers, and other stakeholders to identify and resolve performance issues.
Qualifications for Internal Candidates:
- Four-year college degree in Computer Science or Equivalent.
- Minimum of 6+ years working on performance testing and engineering of large-scale eCommerce/web applications
- 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.
- Front-end Webpage Testing skills is a must.
- Experience with RESTful APIs and microservices platform is a must.
- Same Posting Description for Internal and External Candidates
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