NeoLoad Performance Engineer: SAP Fiori & S/4HANA

CACI International Inc; Oregon; Hybrid; USD 75,000 - 158,000; Full time

Job summary

CACI International Inc. is seeking a NeoLoad Performance Test Engineer to support JTMS modernization, focusing on SAP S/4HANA logistics and financial workflows.

You will design and execute performance tests, build reusable NeoLoad scripts, and work with architects, developers, and testers in an Agile/SAFe environment. Responsibilities include analyzing nonfunctional requirements, modeling workloads, collecting telemetry, identifying bottlenecks, and reporting actionable findings.

Qualifications

• Security clearance: Active Secret required.
• 5+ years in software performance engineering or testing of large-scale enterprise apps, with NeoLoad experience.
• Strong understanding of HTTP/HTTPS, REST APIs, concurrency, throughput, latency and bottleneck isolation.
• Ability to collaborate with Agile/SAFe teams and document findings clearly.

Responsibilities

• Review requirements and define measurable performance test scenarios.
• Design, parameterize, and maintain NeoLoad scripts and workloads.
• Plan and execute baseline, load, stress, spike, and endurance tests.
• Collect telemetry and identify bottlenecks, reporting actionable findings.
• Assess end-to-end SAP S/4HANA workflows and validate integrations.
• Document defects with reproducible workloads and coordinate remediation.

Skills

Security clearance

Analytical thinking

Agile/SAFe

Communication

Education

Bachelor's degree in Computer Science / IT / Engineering

Tools

NeoLoad Web/Controller

Jenkins

Git

ServiceNow / Jira

Observability tools

Job description

CACI International Inc. is seeking a NeoLoad Performance Test Engineer to support JTMS modernization, focusing on SAP S/4HANA logistics and financial workflows.

You will design and execute performance tests, build reusable NeoLoad scripts, and work with architects, developers, and testers in an Agile/SAFe environment. Responsibilities include analyzing nonfunctional requirements, modeling workloads, collecting telemetry, identifying bottlenecks, and reporting actionable findings.