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Performance Test Engineer
Model real workloads, find the bottleneck, and prove the fix.
Starting level: QA or Automation EngineerTarget role: Performance Test EngineerJourney: 3–5 months
Core skills
- Workload modelling from production analytics
- Scripting, correlation and parameterisation
- Percentile analysis and result interpretation
- Resource monitoring: CPU, memory, threads, connection pools
- Database and application tuning fundamentals
Recommended technologies
- JMeter
- k6
- Gatling
- Grafana & Prometheus
- New Relic or Dynatrace
- SQL
Practice labs
- Script a three-step journey with think times and assertions
- Run a soak test and identify a memory growth pattern
- Correlate a latency spike with a database wait event
Projects
- A full performance report: model, scenarios, results, bottleneck analysis, recommendations
Interview preparation
- Load, stress, soak and spike — with a use case for each
- Why averages mislead and what to report instead
- A bottleneck you found and how you proved it
Suggested next step
- Performance Architect or Site Reliability adjacent roles
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