Test Analyst

Job Summary

Able to lead GtNt performance testing engagement independnetly

Responsibilities

• Understanding Customer Requirments Gathering NFRs and stakeholder Management and end to end delivary of performance testig along with Manual testing contributions to SAP applications

Requirements

• Must-Have Skills 7+ years of experience in Performance Testing Performance Engineering.
• Strong hands-on experience with JMeter, LoadRunner, k6, Gatling, or equivalent.
• Strong API Performance Testing experience.
• Experience with SAP performance testing SAP environments.
• Strong understanding of REST, SOAP, HTTPHTTPS, JSON, XML, authentication, and API architectures.
• Experience with SQL and database performance analysis.
• Strong understanding of performance metrics including response time, latency, throughput, TPS, concurrency, resource utilization, and error rates.
• Experience with monitoringobservability tools such as Dynatrace, AppDynamics, Splunk, Grafana, Prometheus, or equivalent.
• Experience with CICD, DevOps, cloud, microservices, and distributed architectures.
• Strong analytical and troubleshooting skills.
• AI GenAI Skills Preferred Practical experience using GenAIAI tools to enhance software testing or engineering practices.
• Experience experimenting with AI-assisted test generation, test optimization, log analysis, anomaly detection, or root-cause analysis.
• Understanding of LLMs, prompt engineering, AI agents, or AI-assisted automation is a plus.
• Ability to identify practical AI use cases and convert them into measurable improvements in performance engineering.
• Performance Testing + Engineering Mindset + API Expertise + SAP Experience + AIGenAI Innovation
• The successful candidates should be curious, innovative, data-driven, and willing to challenge traditional performance testing approaches. They should be capable of moving from simply "running performance tests" to understanding why a system behaves the way it does, predicting potential issues, and using engineering and AI-driven approaches to improve performance, scalability, and reliability.
• Nice to Have AWS Azure GCP experience.
• Kubernetes Docker.
• Microservices and event-driven architectures.
• Observability and APM.
• Python Java JavaScript scripting.
• AIML-based performance analytics.
• Experience building internal performance engineering platforms or accelerators.
• Experience mentoring junior performance engineers.

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