Performance Load Test Architect / Lead
Location: Remote (Occasional Travel Required) - Middletown, PA
Experience: 12+ Years
Must-Have Skill: Expert-level NeoLoad
Job Overview:
We are seeking an experienced Performance Load Test Architect / Lead to define and lead enterprise-wide performance engineering strategies for a large-scale program. The ideal candidate will have strong expertise in NeoLoad, enterprise performance testing, capacity planning, and SAP-integrated enterprise applications.
Key Responsibilities:
Define performance engineering strategy, standards, governance, and best practices.
Lead enterprise performance and load testing initiatives across SAP and non-SAP applications.
Develop workload models using historical production metrics and projected business growth.
Establish NFRs, SLOs, SLAs, and performance acceptance criteria.
Lead performance planning across SIT, UAT, Go-Live, and Hypercare.
Review solution architecture for scalability risks and performance bottlenecks.
Lead capacity planning, infrastructure sizing, monitoring, and root-cause analysis.
Implement and administer NeoLoad as the enterprise performance testing platform.
Establish reusable scripting frameworks and automated performance regression testing.
Present performance risks, results, and mitigation strategies to executive leadership.
Required Skills & Experience:
12+ years of overall IT experience.
8+ years of enterprise performance engineering and load testing.
5+ years leading enterprise performance testing initiatives.
Expert-level hands-on experience with NeoLoad.
Experience architecting performance testing solutions for enterprise-scale applications.
Strong experience with SAP BRIM, SAP S/4HANA, SAP Convergent Mediation (CM), SAP Datasphere, and CRM platforms.
Experience with REST/SOAP APIs, middleware, batch processing, and enterprise integrations.
Strong knowledge of workload modeling, capacity planning, scalability, stress testing, endurance testing, spike testing, and failover testing.
Experience with performance monitoring, diagnostics, and cloud/hybrid infrastructure.
Preferred Qualifications:
NeoLoad certification.
Azure or AWS cloud certification.
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
