Journi – Performance Load Test Architect/Lead (814006)

Intone Inc; Middletown Township (PA); On-site; USD 140,000 - 190,000; Full time

Job summary

Intone Inc. seeks a Senior Performance Engineering Lead in Middletown, PA for a 12-month contract.

You will define the overall performance engineering strategy across enterprise platforms, establish standards and governance, and lead workload modeling and testing efforts using NeoLoad. You will collaborate with SAP, CRM, middleware, and cloud teams to ensure scalable, reliable systems and will present dashboards and metrics to executives.

Qualifications

• 12+ years of overall IT experience.
• 8+ years in enterprise performance engineering and load testing.
• 5+ years leading enterprise performance testing initiatives.
• Expert-level experience with NeoLoad.
• Experience architecting performance testing solutions for enterprise-scale applications.
• Strong experience with SAP BRIM, S/4HANA, SAP Convergent Mediation, SAP Datasphere, CRM platforms, APIs, middleware, and enterprise integrations.
• Experience designing production workload models using historical production metrics.
• Strong knowledge of capacity planning.
• Strong knowledge of performance engineering.
• Strong knowledge of scalability architecture.
• Strong knowledge of stress, endurance, spike, and failover testing.
• Strong knowledge of API and middleware performance testing.
• Strong knowledge of batch processing optimization.
• Strong knowledge of cloud and hybrid infrastructure performance.
• Strong knowledge of performance monitoring and diagnostics.
• Bachelor's degree in Computer Science, Information Systems,

Responsibilities

• Define and own the overall performance engineering strategy for the program.
• Develop enterprise performance testing standards, governance, methodologies, and best practices.
• Define workload models using historical production metrics and anticipated business growth.
• Establish non-functional requirements (NFRs), SLOs, SLAs, and performance acceptance criteria.
• Lead performance planning activities for Solution Confirmation, PI Planning, SIT, UAT, Go-Live, and Hypercare.
• Review solution architecture to identify scalability risks, performance bottlenecks, and infrastructure constraints early in the SDLC.
• Provide technical leadership for capacity planning and infrastructure sizing recommendations.
• Lead performance testing across SAP BRIM, SAP Convergent Mediation, SAP S/4HANA, SAP Datasphere, Dynamics CRM, middleware, APIs, batch processing, event-driven integrations, customer portals, mobile apps, IVR and chatbot platforms.
• Define enterprise load profiles for concurrent users, transaction volumes, billing cycles, payment processing, toll transactions, financial processing, and customer service operations.
• Review and approve performance test plans, scripts, workloads, and execution schedules.
• Define enterprise monitoring strategy across application, middleware, SAP, database, infrastructure, and cloud platforms.
• Analyze application response times, throughput, resource utilization, JVM metrics, database performance, middleware queues, API latency, and infrastructure bottlenecks.
• Lead root-cause analysis with development, SAP, CRM, infrastructure, middleware, and vendor teams.
• Recommend application tuning, database optimization, infrastructure scaling, and configuration improvements.
• Validate system readiness for production deployment.
• Lead implementation and administration of NeoLoad as the enterprise performance testing platform.
• Define reusable scripting frameworks and standards.
• Establish automated performance regression testing for major releases.
• Develop performance dashboards and executive reporting.
• Present performance status, risks, bottlenecks, and mitigation strategies to executive leadership and project governance boards.
• Fully document all created work associated with this position, including technical and functional designs and diagrams, test plans, test scripts, impact analysis reports, lessons learned, and best practices, following all required formats and templates.
• Adhere to and follow all organizational standards, policies, and procedures.

Skills

Enterprise performance engineering

Load testing

NeoLoad

Performance testing leadership

SAP BRIM

SAP S/4HANA

SAP Convergent Mediation

SAP Datasphere

CRM platforms

APIs and middleware testing

Cloud and hybrid infra

Performance monitoring

Education

Bachelor's degree in Computer Science/Information Systems

Tools

NeoLoad

Job description

This is a 12-month contract role based in Middletown, Pennsylvania. The position offers the opportunity to lead enterprise performance engineering and load testing strategy for a large-scale program, architecting performance solutions across multiple enterprise platforms and defining standards, governance, and best practices for the organization.

Responsibilities

• Define and own the overall performance engineering strategy for the program.
• Develop enterprise performance testing standards, governance, methodologies, and best practices.
• Define workload models using historical production metrics and anticipated business growth.
• Establish non-functional requirements (NFRs), service level objectives (SLOs), service level agreements (SLAs), and performance acceptance criteria.
• Lead performance planning activities for Solution Confirmation, PI Planning, SIT, UAT, Go-Live, and Hypercare.
• Review solution architecture to identify scalability risks, performance bottlenecks, and infrastructure constraints early in the SDLC.
• Provide technical leadership for capacity planning and infrastructure sizing recommendations.
• Lead performance testing across SAP BRIM, SAP Convergent Mediation (CM), SAP S/4HANA, SAP Datasphere, Dynamics CRM Customer Engagement, middleware, REST/SOAP APIs, batch processing, event-driven integrations, customer web portals, mobile applications, IVR and chatbot platforms.
• Define enterprise load profiles for concurrent users, transaction volumes, billing cycles, payment processing, toll transactions, financial processing, and customer service operations.
• Review and approve performance test plans, scripts, workloads, and execution schedules developed by performance analysts.
• Define enterprise monitoring strategy across application, middleware, SAP, database, infrastructure, and cloud platforms.
• Analyze application response times, throughput, resource utilization, JVM metrics, database performance, middleware queues, API latency, and infrastructure bottlenecks.
• Lead root-cause analysis with development, SAP, CRM, infrastructure, middleware, and vendor teams.
• Recommend application tuning, database optimization, infrastructure scaling, and configuration improvements.
• Validate system readiness for production deployment.
• Lead implementation and administration of NeoLoad as the enterprise performance testing platform.
• Define reusable scripting frameworks and standards.
• Establish automated performance regression testing for major releases.
• Develop performance dashboards and executive reporting.
• Present performance status, risks, bottlenecks, and mitigation strategies to executive leadership and project governance boards.
• Fully document all created work associated with this position, including technical and functional designs and diagrams, test plans, test scripts, impact analysis reports, lessons learned, and best practices, following all required formats and templates.
• Adhere to and follow all organizational standards, policies, and procedures.

Qualifications

• Required
  • 12+ years of overall IT experience.
  • 8+ years of enterprise performance engineering and load testing experience.
  • 5+ years leading enterprise performance testing initiatives.
  • Expert-level 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, CRM platforms, APIs, middleware, and enterprise integrations.
  • Experience designing production workload models using historical production metrics.
  • Strong knowledge of capacity planning.
  • Strong knowledge of performance engineering.
  • Strong knowledge of scalability architecture.
  • Strong knowledge of stress, endurance, spike, and failover testing.
  • Strong knowledge of API and middleware performance testing.
  • Strong knowledge of batch processing optimization.
  • Strong knowledge of cloud and hybrid infrastructure performance.
  • Strong knowledge of performance monitoring and diagnostics.
  • Bachelor's degree in Computer Science, Information Systems,