
Performance Tester
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Mexico City, Mexico"), this listing's salary midpoint is about 90% lower. The offer sits below the benchmark range (€9,260–€13,890). Range-width comparison is limited because one of the salary bands is incomplete. This benchmark is based on 3 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Mexico City, Mexico | €9,260/per month | €13,890/per month | €13,890/per month |
| Pay in our data — not quoted in ad (Senior) | €1,158/per month | €1,158/per month | €1,158/per month |
Job Summary 8 hour work day. Preferably in Mexico City area. Would like a hire to overlap/train before our incumbent rolls off the project end of August.) Please find below the requirements for the Performance Auto III Lead position to support COT applications. Regarding the senior it would be similar but not leading the team however some mentoring of a junior offshore team member would be required. Responsibilities 1. Performance Test Scripting Strong experience with JMeter scripting. Ability to write or debug custom scripts using Groovy and JavaScript. Experience with correlation parameterization assertions timers controllers reusable functions and custom logic. Ability to troubleshoot script failures dynamic values authentication cookies headers and session handling. 2. Workload Modeling and Test Design Ability to analyze business flows and design realistic workload models. Experience designing load stress endurance spike and scalability tests. Ability to calculate user load TPS or TPM pacing think time ramp up and transaction mix based on production usage. Experience validating test data readiness and environment readiness. 3. Production Log and Traffic Analysis Ability to analyze production logs and traffic patterns to identify peak usage transaction volume error trends and response time behavior. Experience using production metrics to create accurate performance test scenarios. Ability to compare production behavior with test environment results. 4. Monitoring and Observability Hands on experience with Datadog AppDynamics and Kibana. Ability to monitor application API JVM.NET IIS database container and infrastructure metrics. Experience identifying bottlenecks related to CPU memory GC thread pools connection pools database queries downstream services cache and network latency. Ability to correlate JMeter results with monitoring tool metrics. 5. AWS or Cloud or Container Monitoring Experience monitoring applications hosted on AWS cloud platforms. Understanding of containers Kubernetes or ECS or EKS pods services nodes CPU or memory limits autoscaling and cloud infrastructure behavior. Ability to analyze container level performance issues and work with DevOps teams. 6. Distributed Testing Setup Experience setting up and executing distributed performance tests. Good understanding of load generators controller agent setup firewall or port issues data file distribution result collection and capacity planning. Ability to debug common distributed testing challenges such as connectivity issues file path issues permission issues resource saturation and inconsistent results. 7. Performance Analysis and Reporting Ability to analyze response times throughput error percentage percentiles saturation points and bottlenecks. Strong skills in preparing clear Observations and Recommendations. Ability to explain performance findings to technical and non technical stakeholders. Experience working with development infrastructure database DevOps and application teams for root cause analysis. 8. Leadership and Communication Should be able to lead performance testing activities independently. Should have strong communication skills and the ability to coordinate with multiple teams. Should be proactive in identifying risks blockers environment issues and test data gaps. Should be able to mentor junior performance testers if needed. Preferred Tools and Technologies JMeter Groovy / JavaScript Datadog AppDynamics Kibana / Elasticsearch AWS monitoring Docker / Kubernetes / ECS / EKS CI/CD pipeline integration Git / Jenkins API testing tools SQL/log analysis
Job Details

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