About the role
Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. Job Title: Performance Test Specialist - Salesforce Strong Apache JMeter expertise Performance, load, stress and volume testing for salesforce products Workload modelling and scenario design Performance script development and correlation Test execution, analysis and reporting Understanding of web/API performance testing Performance bottleneck analysis and RCA support Test-data and environment coordination Agile/DevOps delivery experience Strong analytical and stakeholder communication skills AI/GenAI-assisted performance test scenarios and script generation Familiarity with AI-assisted monitoring and predictive analytics using tools such as Grafana, Datadog, or Dynatrace. Define performance, load, stress and volume-testing approaches based on application and business requirements. Develop, maintain and execute reusable performance-test scripts and scenarios using Apache JMeter. Establish repeatable performance-testing practices that can scale across releases and applications. Work with business and technical stakeolders to identify critical business journeys and define appropriate workload models. Prepare test scenarios, test data, execution plans and performance-testing documentation. Execute baseline, load, stress and volume tests based on agreed non-functional requirements. Monitor and analyze response times, throughput, error behavior and resource-utilization indicators available during testing. Identify performance bottlenecks and collaborate with engineering teams to support root-cause investigation and remediation. Compare performance results across test cycles/releases and highlight regressions. Coordinate performance-test environments, test data and dependencies. Provide clear performance test reports covering observations, issues, risks and release-readiness considerations. Support performance-testing requirements using JMeter. Build reusable scripts, datasets and execution approaches to improve efficiency across subsequent releases. Support performance-related improvement initiatives and knowledge transfer to Client teams. Explore approved AI/GenAI accelerators for performance analysis where appropriate, subject to Client controls and human validation.