Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via emailRole: Sr Performance Test Engineer Engineer
Location: Lisle IL
Work Arrangement: Hybrid 4 days in office 1 day remote
Key Responsibilities
Design develop and execute performance tests using NeoLoad to validate scalability throughput and stability of applications.
Perform workload modeling test script creation correlation and parameterization for large-scale performance scenarios.
Analyze performance test results identify bottlenecks and provide recommendations for tuning.
Contribute to functional test automation using Tricentis Tosca (UI API regression).
Integrate both performance and functional test executions into CI/CD pipelines (e.g. Jenkins Azure DevOps GitLab CI).
Maintain and catalog test cases in qTest ensuring traceability and effective reporting.
Collaborate with development DevOps and QA teams to ensure continuous performance validation throughout the release cycle.
Provide detailed performance and automation reports to stakeholders and recommend improvements.
Mentor junior engineers on performance testing best practices and Tosca automation usage.
Required Qualifications
12 years of professional QA/testing experience with at least 6 years in performance testing.
Strong hands-on experience with NeoLoad (test design monitoring and results analysis).
Proven expertise in functional automation with Tricentis Tosca.
Hands-on experience integrating performance and functional testing into CI/CD pipelines.
Experience with qTest for test case management and cataloging.
Strong analytical skills to identify performance bottlenecks across application database and infrastructure layers.
Excellent communication problem-solving and collaboration skills.
Willingness to work 4 days per week onsite.
Preferred Skills
Tricentis certifications (Tosca NeoLoad and Qtest).
Coding experience with Tricentis application is mandatory
Familiarity with APM tools (Dynatrace AppDynamics New Relic or equivalent) for root cause analysis.
Scripting knowledge (e.g. Python PowerShell Groovy) for automation customization.
Knowledge of cloud environments (AWS Azure or GCP) and performance testing in cloud-native architectures.
Understanding service virtualization and test data management.
Cloud BC Labs Inc is a digital transformation organization aimed at creating seamless solutions for clients to effectively manage their business operations. The company specializes in Business and Management Consulting AI/ML Data Analytics & Visualization Cloud Data Warehouse Migration Snowflake Implementation Informatica Implementation & Upgrade Staffing Services and Data Management Solutions
Full-time