Senior Performance Test Engineer_102504
MyCareernet • Hyderabad, Telangana, India
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Role & seniority
- Senior/Lead Performance Testing & Performance Engineering (10–13 years)
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Stack/tools
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Testing: JMeter, LoadRunner (load/stress/endurance/scalability testing)
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Monitoring/observability: Grafana, Datadog, AppDynamics, Prometheus, Dynatrace
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Cloud: AWS, Azure, or GCP
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Other: Prometheus/Dynatrace/AppDynamics; AI-assisted productivity tools (ChatGPT, Gemini, Claude Code, Copilot)
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Top 3 responsibilities
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Design and execute performance test strategies for web, API, and backend systems
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Build/maintain reusable test scripts/workloads and validate scalability targets
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Analyze bottlenecks by correlating test behavior with metrics/observability across app, database, and infrastructure
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Must-have skills
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Expert-level performance testing engineering for enterprise applications
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Strong proficiency in JMeter and LoadRunner
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Ability to perform load, stress, endurance, and scalability testing
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Competence using Grafana/Datadog (and related observability tooling) to analyze results
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Nice-to-haves
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Experience with AppDynamics, Prometheus, Dynatrace
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Familiarity with AI-assisted productivity tools (e.g., ChatGPT/Gemini/Claude Code/Copilot)
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Location & work type
- Not specified in provided text
Full Description
Key Skills: Performance Testing, Performance Engineering, JMeter, LoadRunner, Load Testing, Stress Testing, Endurance Testing, Scalability Testing, Grafana, Datadog, AWS, Azure, GCP, Monitoring, Observability, AppDynamics, Prometheus, Dynatrace, AI-Assisted Productivity Tools, ChatGPT, Gemini, Claude Code, Copilot
Roles & Responsibilities
- Design and execute performance test strategies across web, API, and backend systems.
- Build and maintain reusable test scripts and workloads using enterprise performance testing tools.
- Analyze application behavior under load and identify bottlenecks across application, database, and infrastructure layers.
- Use monitoring and observability tools to correlate test results with system metrics and service health.
- Partner with engineering teams to validate scalability targets and support release readiness for high-traffic systems.
Experience Required
- 10 to 13 years of experience in performance testing and performance engineering for enterprise applications.
- Expertise with JMeter and LoadRunner for load, stress, and endurance testing.
- Experience with Grafana and Datadog for metrics analysis and system observability.
- Experience working across AWS, Azure, or GCP environments with performance-focused validation.
Good to Have
- AppDynamics, Prometheus, Dynatrace, and familiarity with AI-assisted productivity tools such as ChatGPT, Gemini, Claude Code, or Copilot.
Education
- Bachelor's degree in Computer Science, Information Technology, or a related discipline.
