Performance Test Lead

Summary:

GENERAL RESPONSIBILITIES

(80%) Validation of Quality Applications

• Demonstrate ownership and accountability in work assignments. Be resourceful and collaborate with respective teams to quickly solve performance and scalability challenges.
• Design workloads and simulations to model our applications usage and establish performance and scalability benchmarks.
• Measure various aspect of the system performance, including throughput, response times, resource usage such as CPU, memory, thread utilization and IO statistics.
• Automate the tracking and publishing of Performance results across software builds and releases to ensure high quality releases

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• Perform root cause analysis for performance optimization and architecture. Demonstrate a technical aptitude to do a deep-dive into problem areas and contribute to fixes that are faster, cleaner and require less maintenance.
• Hands-on script development using JMeter and Gatling
• Estimate performance testing deliverables for all applicable projects.
• Requirements gathering, creating JMeter scripts and execution.
• Monitor build jobs and create defects for any performance related issues.
• Perform In sprint performance testing.
• Scripting new functionality and fixing existing failed JMeter and Gatling scripts.
• Plan performance tests both in QA and pre-prod (sometimes production).
• Discuss with team on new services, gather requirements and develop JMeter/Gatling scripts.
• Develop, document, and maintain the test strategy and test scenarios.
• Execute tests in cloud load generators as per requirements.
• Collaborate with Operations team to monitor applications to ensure applications perform as planned.
• Track defects on issues found.
• Perform detailed analysis on any bottlenecks found during test executions.
• Build Stress, Load, Capacity and soak tests at an enterprise-wide level.

(20%) Leadership

• Ability to communicate performance metrics of the applications to the leadership.
• Develop and maintain Key Performance Indicators (KPI) for the various applications
• Develop and maintain service level metrics for systems, including response time, failover, time to failure, and time to recover.
• Ability to coordinate with Leads and development managers.
• Timely presentation of KPI and performance metrics to leadership teams.

QUALIFICATIONS

• 8+ years of experience in performance testing/engineering.
• Experience with containers and Kubernetes
• Strong Automation and coding skills using Shell, Groovy, Java or other languages.
• Experience testing microservice architecture.
• Former developer experience a plus.
• Experience in testing message queues like AMQ, IBM MQ etc
• Experience with public cloud infrastructure is a plus.
• Strong understanding of performance tuning Relational Databases
• Understanding of networking technologies (TCP/IP, DNS, Load Balancers, Firewalls, etc.)
• Must have a minimum of 2 years’ experience using any monitoring tools like Dynatrace, AppDynamics, Splunk etc..,
• Strong knowledge of Splunk (and/or Splunk) to build effective visualizations, alerts and dashboards around key business transitions, performance, and health metrics to get deeper operational and system insight on the systems.
• Expert experience in JMeter tool.
• Expert experience in scripting and running tests using Gatling.
• Experience running tests using cloud testing tools like BlazeMeter, OctoPerf etc.,
• Experience integrating performance scripts (JMeter) into Jenkins and JMeter with scripting(groovy)
• Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, application resiliency and security.

Minimum Experience :

• 6+ years of experience in performance testing/engineering.
• Strong Automation and coding skills using Shell, Groovy, Python, Java or other languages.
• Expert experience in JMeter tool.
• Expert experience in scripting and running tests using Gatling.
• Experience running tests using cloud testing tools like BlazeMeter, OctoPerf etc.,
• Experience testing a microservice architecture and analyzing performance.
• Automation of Performance tests