Sr. Performance Engineer

• 10+ years of experience with building/utilising in-house or industry-standard performance test automation using tools like JMeter, BlazeMeter, Taurus, NeoLoad, LoadRunner(Optional)
• Strong scripting experience including, but not limited to Bash, Python, Perl, Java
• Working knowledge of TCP/IP, networking topology and experience with network packet-level analysis for troubleshooting
• Experience in system monitoring techniques and tools such as Perfmon, Linux Performance Observability
• Experience with one or more Application Performance Management software such as Opnet Riverbed APM, AppDynamics or New Relic
• This position requires a dynamic, hard-working and ambitious individual with excellent oral and written communication skills
• Knowledge of Unix/Windows hardware, software, and applications environments (Java, .Net and Open Source) and a solid understanding of their associated capacity and performance indicators
• Experience in investigating and solving complex application/infrastructure performance issues
• Troubleshooting and JVM optimisation experience with applications deployed on Tomcat/Apache/IIS/Jboss/Websphere containers
• Experience in working with Docker Containers, Kubernetes, Cloud platform AWS/Azure/GCP

Key Skills:

• Good Skills on one or more Application Performance Management tools – Opnet Riverbed/AppDynamics/Dynatrace/New Relic

• Experience in troubleshooting Java/.Net application performance

• Experience with Database Performance Analysis - Oracle/MySQL/SQL Server/DB2/Hadoop

• Experience in troubleshooting virtualised infrastructure (compute and storage) performance using tools such as Splunk, vROPS and other industry-standard infrastructure performance tools

• Linux Performance Observability tools, Windows Performance Analysis of Logs (PAL)

• Experience with Spunk queries

• Experience with any capacity management tools

Responsibilities:

• Create, review and execute the Performance Test Strategy & Test plan for both UI and API Components

• Create application and infrastructure performance plans/models for most critical workloads to meet peak demand during Cyber Monday/Black Friday/holidays

• Develop, execute and evaluate load test scenarios to stress the limits of critical applications

• Characterise end to end system performance from application to infrastructure to hardware

• Monitor application performance and optimise performance bottlenecks and usage to create an application capacity model

• Optimise system components such as CPU/Memory/Disk/Network & OS/Application software for maximum use of computer resources

• Work closely with application development teams to provide technical direction to improve application performance and support performance analysis testing/development efforts