Performance Test Specialist, Salesforce
Ascendion
About Ascendion
Ascendion is a leader in AI-Native platform driven software engineering.
Job Title: Performance Test Specialist - Salesforce
Key Responsibilities
- 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.
Requirements & Tech Stack
- 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
Good-to-Have
- 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.

