Performance Test Engineer

Project Description:

The Migration Project for our Global Banking Client is an internal enterprise-wide infrastructure and application modernization initiative. The project primarily focuses on upgrading, refactoring, and migrating business-critical legacy applications to updated backend frameworks and reliable data center configurations.

Responsibilities:

• Collaborates with other engineers to develop testing and monitoring approaches
• Focuses on assurance in the areas of error rates, response times, and impact to infrastructure
• Designs, scripts, configures, and run performance tests to validate production readiness of software applications and infrastructure for stability and performance
• Conditions test data as needed to properly simulate test scenarios
• Supports testing needs of new projects, infrastructure upgrades, and application enhancements by validating application functionality against documented test cases
• Diagnoses, tracks, and manages performance issues to resolution
• Uses dashboards that enable efficient monitoring of applications and systems running in production environments to troubleshoot issues and report findings
• Provides summaries and assessments of the applications performance, emphasizing trends over time
• Conducts deep dive analysis of data when trends or anomalies are identified
• Collaborates with AD teams during story design to ensure new application features are developed in a performant manner.

Mandatory Skills Description:

• 7+ years full time Performance Testing and Engineering experience
• Hands-on experience in Java programming - should be able to create custom apps/tools for performance testing and monitoring
• Strong experience in implementing end to end performance testing/engineering solutions - requirement gathering, test planning, test execution and monitoring, result reporting/analysis/tuning.
• Strong hands-on experience in following load test tools - LoadRunner, JMeter and
• Strong experience in Openshift/Kubernetes/microservices
• Hands-on experience in DevOps tools like Jenkins, Azure DevOps (ADO) etc., including writing pipelines and integrating performance tests into CI/CD workflows

Nice-to-Have Skills Description:

• Experience in container (Docker, Podman) and container orchestration (Kubernetes) platform
• Exposure to Generative AI and knowledge/experience in implementing relevant AI solutions for Performance Engineering