Performance Testing Engineer

Job Description

• Performance Testing using open-source tools like JMeter, Gatling, Perl, PowerShell, and solid Python Scripting.
• Familiarity with creating modules that multiply transactional data and other data multiplier strategies for various platforms.
• Experience with Java cloud automation and converting Java to Python.
• SDET automation testing and QA automation testing using CI/CD concepts.

Experience Required

• Python Scripting: Creating modules for transactional data and multiplier strategies for Real Time Clearing System.
• Experience in SDET automation testing and QA automation engineering.
• Performance Engineering concepts, cloud technologies, and migrations using public cloud vendors.
• Strong skills in Python, Perl, and PowerShell scripting.
• Test automation using CI/CD concepts.

Languages & Technologies

• Languages: Java, SQL, Python, JavaScript.
• Tools: JMeter, Gatling, Perl, PowerShell, Jenkins, Git, JIRA, Confluence, Docker, Kubernetes, Kubernetes, DB2, Splunk.
• Cloud Services: AWS, Google Cloud, Azure.
• Web Services: SOAP, Restful.
• Frameworks: Spring, Apache-CXF.

Software Tools and Utilities

• Tools: Jenkins, Enterprise Architect, SQL Developer, Visual Studio, Bitbucket, CVS, SVN, JIRA, Confluence, Bamboo, Sonar, Splunk.
• Monitoring: AppDynamics, SignalFX, LogicMonitor, BMC MainView.
• Web Servers: Apache.
• Databases: DB2, PostgreSQL.
• Operating Systems: Linux.
• Methodologies: Agile, Iterative, Waterfall.