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Salesforce Performance Testing: Design, develop, and execute performance testing strategies and test plans for Salesforce applications and enterprise implementations.
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Conduct load, stress, spike, endurance, and scalability testing to assess application behavior under different user loads, transaction volumes, and operating conditions.
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Evaluate critical business workflows, including record creation and updates, searches, reports, dashboards, and complex transactions across Salesforce environments.
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Test Salesforce solutions such as Sales Cloud, Service Cloud, Experience Cloud, and Lightning Experience, as applicable to project requirements.
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Identify performance issues related to Salesforce configurations, customizations, Apex transactions, Lightning components, and external integrations.
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Apache JMeter Test Development: Build, maintain, and execute reusable performance test scripts and modular test plans using Apache JMeter.
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Configure Thread Groups, HTTP Request Samplers, Controllers, Timers, Assertions, Listeners, and other JMeter components to simulate realistic workload scenarios.
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Develop parameterized and data-driven scripts using CSV files, variables, and correlation techniques, ensuring reliable session management and authentication.
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Configure and execute HTTP/HTTPS requests, headers, cookies, tokens, and request payloads for realistic performance testing scenarios.
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Run distributed and non-GUI load tests for large-scale performance assessments and analyze results to evaluate response times, throughput, error rates, and concurrent-user performance.
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API and Integration Testing: Perform performance testing of Salesforce REST APIs, SOAP APIs, Bulk APIs, and other relevant interfaces.
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Assess integrations between Salesforce and external applications, middleware platforms, and third-party systems, validating response times, throughput, reliability, and error handling under concurrent loads.
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Apply knowledge of OAuth 2.0, access tokens, refresh tokens, and Salesforce API limits to develop reliable and representative test scenarios.
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Identify bottlenecks in API requests, integration services, downstream dependencies, and data-intensive operations.
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Performance Analysis and Optimization: Analyze response-time distributions, latency, throughput, error rates, and other performance indicators to identify application and integration bottlenecks.
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Investigate slow transactions and performance degradation in collaboration with Salesforce developers and architects, reviewing relevant debug logs, Apex execution, governor limits, and platform constraints.
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Recommend performance improvements based on test findings, monitoring data, and root-cause analysis.
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Conduct regression performance testing following fixes, configuration changes, and optimization initiatives.
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Reporting and Collaboration: Prepare detailed performance test reports, dashboards, execution summaries, and actionable recommendations for technical stakeholders.
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Document test scenarios, workload models, test data requirements, assumptions, results, and reusable testing assets.
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Present findings, risks, bottlenecks, and optimization recommendations to QA teams, developers, architects, DevOps specialists, and business stakeholders.
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Participate in defect triage, root-cause analysis, performance reviews, and cross-functional discussions to support continuous improvement.
Requirements:
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6–9 years of experience in software testing, with substantial hands-on experience in performance testing and analysis.
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Strong practical expertise in Apache JMeter, including script development, test execution, workload configuration, result analysis, and performance reporting.
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Proven experience conducting performance testing for Salesforce applications and Salesforce-based enterprise solutions.
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Hands-on experience with load, stress, spike, endurance, and scalability testing methodologies.
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Strong understanding of REST APIs, SOAP APIs, HTTP/HTTPS, JSON, XML, and web communication protocols.
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Experience with API authentication, OAuth 2.0, access and refresh tokens, parameterization, correlation, and session management.
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Solid understanding of performance metrics, including response time, throughput, latency, concurrent users, and error rates.
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Demonstrated ability to interpret test results, troubleshoot performance degradation, and identify application, API, and integration bottlenecks.
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Knowledge of Salesforce platform architecture, governor limits, Apex transactions, and API usage constraints.
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Experience with test data management, defect tracking, test documentation, and structured performance reporting.
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Strong analytical thinking, troubleshooting, problem-solving, and communication skills, with the ability to collaborate effectively across technical teams.
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Nice to have: Experience with Salesforce Sales Cloud, Service Cloud, Experience Cloud, or Lightning Experience.
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Nice to have: Familiarity with Salesforce Apex, SOQL, Lightning Web Components (LWC), and Salesforce integration patterns.
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Nice to have: Exposure to monitoring and observability tools such as Splunk, AppDynamics, Dynatrace, New Relic, or Grafana.
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Nice to have: Experience integrating performance testing into CI/CD pipelines and automated testing workflows, including familiarity with Jenkins, Git, and cloud-based testing environments.
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Nice to have: Experience with Salesforce event monitoring, debug logs, performance diagnostics, Agile/Scrum methodologies, and large-scale enterprise implementations involving complex integrations.
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Availability: Immediate joiners or candidates with a short notice period are preferred.
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Ability to work effectively in a fully remote contractual engagement and communicate findings clearly to distributed teams.
Benefits:
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100% remote work: Perform your responsibilities remotely, with the position based in the Netherlands.
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Contractual engagement: Opportunity to contribute specialized performance testing expertise to Salesforce technology projects.
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Technically challenging work: Test complex Salesforce implementations, APIs, integrations, and enterprise business workflows.
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Specialist impact: Help improve application stability, scalability, responsiveness, and overall user experience through data-driven performance optimization.
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Cross-functional collaboration: Work closely with Salesforce developers, architects, QA professionals, integration specialists, and other technical stakeholders.
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Advanced tooling: Apply Apache JMeter and relevant performance monitoring and diagnostic tools to investigate and resolve complex technical challenges.
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Professional development: Further develop expertise in Salesforce performance testing, API validation, enterprise integrations, and performance engineering.