Project Role : Performance Test Engineer Rate: Euro per day Must have skills : Micro Focus Load Runner, Java, Amazon Web Services (AWS), Kubernetes, Gatling, Splunk Minimum 5 Year(s) Of Experience Is Required Educational Qualification :15 years full time education Summary: We are seeking an experienced Performance Test Engineer with strong expertise in Gatling and Micro Focus Load Runner.
The ideal candidate will be responsible for designing, developing, executing, and analyzing performance tests for complex, large-scale applications.
You will collaborate closely with developers, architects, and business stakeholders to ensure system reliability, scalability, and stability under varying load conditions.
Roles & Responsibilities: Design and develop performance test strategies, plans, and scripts using Gatling and Load Runner.
Execute load, stress, endurance, and scalability tests across web, API, and enterprise applications.
Analyze test results, identify bottlenecks, and provide tuning recommendations at the application, database, and infrastructure levels.
Work with developers and architects to debug performance issues and suggest code or configuration improvements.
Develop automation for performance test execution within CI/CD pipelines (Jenkins, Git Lab, Azure Dev Ops, etc.).
Monitor system metrics (CPU, memory, network, DB performance) during test runs.
Prepare detailed reports highlighting system performance, bottlenecks, and optimization recommendations.
Collaborate with functional QA teams to align performance scenarios with real-world business use cases.
Professional & Technical Skills: -Must To Have Skills: Proficiency in Micro Focus Load Runner, Amazon Web Services (AWS), Java, Kubernetes.
6–12 years of overall experience in performance testing and engineering.
Must have Strong hands-on expertise in: Gatling (Scala scripting, CI/CD integration, API performance testing).
Micro Focus Load Runner (Vu Gen scripting, Controller execution, Analysis).
Must have experience in cloud-based performance testing (AWS, Azure, GCP).
Proficient in scripting for HTTP, Web, REST APIs, and database protocols.
Strong analytical skills with experience in root cause analysis of performance issues.
Familiarity with APM tools (Dynatrace, App Dynamics, New Relic, Grafana, Prometheus, etc.).
Experience with CI/CD pipelines and integrating performance tests with Dev Ops workflows.
Solid understanding of performance KPIs (response time, throughput, error %, latency, resource utilization).
Knowledge of Java/Scala (for Gatling) and C scripting (for Load Runner).
Strong collaboration and communication skills.
Good to Have Knowledge of JMeter, Neo Load, or other performance testing tools.
Familiarity with Kubernetes/Docker for distributed performance testing.
Exposure to database performance tuning (SQL optimization).