Enterprise Performance Test Architect

We are seeking an experienced Performance Load Test Architect / Lead to own and define the enterprise performance engineering strategy for a large-scale program. You will lead load testing, capacity planning, and monitoring across complex SAP, CRM, API, and cloud ecosystems.

• Work Arrangement: Hybrid / Remote (Virtual work with periodic onsite presence).

• Work Location: Harrisburg / Middletown, PA.

• Travel Requirements: Must reside in the Continental US (PA local or within commuting distance preferred). Requires onsite presence approximately 1 week per month for key project milestones (PI Planning, SIT, UAT, Go-Live, etc.) and an initial 1-day onsite orientation for equipment pickup.

• Define enterprise performance testing strategies, workload models, SLAs, and SLOs.

• Lead end-to-end performance testing across SAP (BRIM, S/4HANA, CM, Datasphere), Dynamics CRM, APIs, middleware, and mobile/web platforms.

• Architect, administer, and build automated regression testing frameworks using NeoLoad .

• Perform root-cause analysis, system tuning, and capacity planning.

• Present performance risks, bottlenecks, and executive reporting to leadership.

• Experience: 12+ years in IT, 8+ years in performance engineering/load testing, and 5+ years in leadership roles.

• Core Tooling: Expert-level experience with NeoLoad .

• Tech Stack: Strong expertise in SAP (BRIM, S/4HANA, Convergent Mediation, Datasphere) , Dynamics CRM , REST/SOAP APIs , and middleware.

• Core Competencies: Workload modeling, capacity planning, stress/spike/endurance testing, and cloud performance monitoring.

• Education & Certifications: Bachelor's degree in CS, IT, or Engineering. NeoLoad or Cloud (AWS/Azure) certifications are highly preferred.

• Clearances: Must pass ePATCH and National Criminal background checks.

• Format: Interactive technical interviews (In-person or remote as scheduled).

• Guidelines: Candidates are required to demonstrate authentic, real-time problem-solving without the assistance of AI tools, scripts, or external prompts. Onsite interviews at facility locations may be required at discretion.