Job Description
We are looking for an experienced Performance Testing / Engineering professional with strong hands-on expertise in designing, developing, and executing enterprise-level performance testing solutions.
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Required Skills:
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- About 10+ years of previous hands-on experience as Performance Testing/Engineering experience using JMeter, LoadRunner, Locust, or similar tools, including performance architect AI/ML expertise including Python, LLMs, GenAI frameworks, prompt engineering, and AI-assisted automation development.
- An understanding of web protocols including HTTP, HTTP, Citrix etc.
- Any experience in any load management applications like LoanIQ (Finastra).
- If someone has development experience, that will be better.
- Must be well versed in using VUGen 9.5 or greater for advanced test script development beyond the built-in record and playback capabilities.
- Requires specialized Python programming skills Experience in Programming languages such as C, Java, SQL query development, Scripting, etc.
- Ability to use different monitoring/profiling tools (Dynatrace, CA Wily Introscope, AWR reports etc.) to monitor, gather, and report application performance on Windows or Linux machines.
- Knowledge of Splunk to be able to do better load test analysis.
- Has an understanding of the distributed load test environments, and the application architecture
- Knowledge of performance bottlenecks and end-to-end performance web performance measures.
- Strong analytical skills with a natural ability to research and resolve complex systems, applications and user issues.
- Excellent verbal and written communication skills.
- Ability to troubleshoot issues in the load and performance test environment.
- Strong communication, stakeholder management, problem-solving, and ability to collaborate across development, architecture, production support, and leadership teams.
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Desired Skills:
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- Ability to use different monitoring/profiling tools (Dynatrace, CA Wily Introscope, AppDynamics, AWR reports etc.) to monitor, gather, and report application performance on Windows or Linux machines.
- Has an understanding of the distributed load test environments, and the application architecture.
- An understanding of web protocols including HTTP, Citrix etc.
- Programming language - including specialized Python programming skills.
- Experience with cloud platforms (Azure/AWS/GCP), Kubernetes/OpenShift, microservices, and distributed architectures.
- Observability and monitoring expertise using Dynatrace, Splunk, AppDynamics, Grafana, ELK, or similar platforms.
- Experience developing AI agents/copilots for test automation, performance analysis, anomaly detection, and predictive capacity planning.
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