Why This Role Stands Out
Shape the performance engineering strategy for a large-scale program and gain exposure to diverse systems like SAP, CRM, and cloud ecosystems. This role is ideal for a seasoned Performance Test Architect eager to lead, innovate, and drive impactful results in a hybrid work environment. Apply now to elevate your career with Stellar Professionals LLC!
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
United States
Posted
23 hours ago
SOAPAWSAzureBackground ChecksCRMCapacity PlanningMediationRESTSAP
Job Description
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 Details & Location
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Work Arrangement: Hybrid / Remote (Virtual work with periodic onsite presence).
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Work Location: Harrisburg / Middletown, PA.
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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.
Key Responsibilities
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Define enterprise performance testing strategies, workload models, SLAs, and SLOs.
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Lead end-to-end performance testing across SAP (BRIM, S/4HANA, CM, Datasphere), Dynamics CRM, APIs, middleware, and mobile/web platforms.
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Architect, administer, and build automated regression testing frameworks using NeoLoad.
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Perform root-cause analysis, system tuning, and capacity planning.
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Present performance risks, bottlenecks, and executive reporting to leadership.
Key Skills & Qualifications
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Experience: 12+ years in IT, 8+ years in performance engineering/load testing, and 5+ years in leadership roles.
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Core Tooling: Expert-level experience with NeoLoad.
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Tech Stack: Strong expertise in SAP (BRIM, S/4HANA, Convergent Mediation, Datasphere), Dynamics CRM, REST/SOAP APIs, and middleware.
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Core Competencies: Workload modeling, capacity planning, stress/spike/endurance testing, and cloud performance monitoring.
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Education & Certifications: Bachelor’s degree in CS, IT, or Engineering. NeoLoad or Cloud (AWS/Azure) certifications are highly preferred.
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Clearances: Must pass ePATCH and National Criminal background checks.
Interview Process
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Format: Interactive technical interviews (In-person or remote as scheduled).
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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.
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