| Location | Middletown, PA (Remote) |
Define and own the overall performance engineering strategy for the enterprise modernization initiative.
Establish enterprise performance testing standards, governance frameworks, methodologies, and best practices.
Develop realistic workload models based on historical production metrics and projected business growth.
Establish non-functional requirements (NFRs), Service Level Objectives (SLOs), Service Level Agreements (SLAs), and performance acceptance criteria.
Lead performance planning across all project phases: Solution Confirmation, PI Planning, SIT, UAT, Go-Live, and Hypercare.
Review end-to-end solution architectures early in the SDLC to identify scalability risks, infrastructure constraints, and potential bottlenecks.
Provide technical leadership for enterprise capacity planning and infrastructure sizing recommendations.
Lead performance testing across a complex technology ecosystem, including:
SAP BRIM, SAP Convergent Mediation (CM), SAP S/4HANA, and SAP Datasphere
Dynamics CRM / Customer Engagement platforms
Enterprise Middleware, REST/SOAP APIs, and event-driven architectures
High-volume batch processing systems
Customer web portals and mobile applications
IVR and automated chatbot platforms
Formulate enterprise load profiles covering concurrent user volumes, transaction throughput, billing cycles, payment processing, transaction ingestion, financial reconciliation, and customer service operations.
Review, guide, and sign off on performance test plans, scripts, workload models, and execution schedules prepared by performance engineers and analysts.
Architect and implement an end-to-end monitoring and observability strategy across applications, middleware, SAP, databases, and cloud infrastructure.
Analyze system metrics, including response times, throughput, JVM metrics, database locks/queries, message queues, API latencies, and resource utilization.
Lead cross-functional root-cause analysis (RCA) alongside development, infrastructure, middleware, functional ERP, and third-party vendor teams.
Provide actionable tuning recommendations for application runtimes, database queries/indexes, infrastructure auto-scaling, and system configurations.
Validate and certify overall system readiness ahead of production deployments.
Lead the implementation, administration, and scaling of NeoLoad as the enterprise performance testing platform.
Design modular, reusable scripting frameworks and standardized load generation patterns.
Integrate automated performance regression test suites into major deployment pipelines.
Develop executive-ready performance dashboards, KPIs, and release sign-off reports.
Present performance findings, risk assessments, bottlenecks, and mitigation plans to technical leads, steering committees, and executive leadership.
Author and maintain comprehensive program documentation, including architecture diagrams, test strategies, impact analyses, lessons learned, and standard operating procedures.
Ensure full alignment with organizational IT standards, security frameworks, and governance policies.
12+ years of progressive IT experience.
8+ years of dedicated experience in enterprise performance engineering and load testing.
5+ years in a technical leadership or architectural capacity driving enterprise performance initiatives.
Expert-level proficiency in NeoLoad (scripting, scenario modeling, infrastructure, and reporting).
Proven track record architecting performance testing solutions for large-scale, high-throughput enterprise platforms.
Hands-on performance testing experience across SAP ecosystems (BRIM, S/4HANA, Convergent Mediation, Datasphere), CRM platforms, APIs, and integration middleware.
Deep expertise in building data-driven workload models from production logs and historical transaction volumes.
Strong subject-matter expertise in:
Capacity planning and infrastructure sizing
High-availability, failover, spike, stress, and endurance testing
Batch job optimization and asynchronous messaging
Cloud and hybrid infrastructure performance diagnostics