Sr. Performance Test Engineer

Cynet Systems • Reston, VA

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About The Position

We are seeking a Sr. Performance Test Engineer to develop and execute end-to-end performance test strategies for enterprise applications, AWS-native applications, APIs, microservices, and data platforms. This role involves defining performance objectives, workload models, test data needs, test schedules, and entry and exit criteria. You will design and execute various types of performance tests, automate test execution within CI/CD pipelines, and analyze results across multiple layers of the technology stack. The ideal candidate will identify bottlenecks, resiliency gaps, and performance risks, providing actionable recommendations to stakeholders. This position also supports performance engineering for cloud modernization, data platform migrations, and high-volume processing solutions, and partners with architecture and engineering teams to recommend tuning opportunities and capacity improvements. You will lead defect triage and root-cause analysis for performance issues, support production incident analysis, and establish performance baselines, dashboards, and reporting standards. Additionally, you will mentor team members on performance testing best practices, NeoLoad scripting, and cloud observability.

Requirements

• Bachelor's Degree in Information Technology or Computer Science, or an additional 4 years of relevant work experience.
• 5+ years of experience in performance testing, resiliency testing, performance engineering, or quality engineering for enterprise applications.
• Hands-on experience with workload modeling, performance test design, resiliency test scenarios, and failover validation.
• Experience with test execution, monitoring, bottleneck analysis, recovery analysis, and results reporting.
• Experience with NeoLoad or similar performance testing tools.
• Experience with CI/CD performance test automation and cloud platforms such as AWS.
• Experience with database performance validation and large-scale data warehouse or data lake environments.
• Knowledge of scripting, programming, or query languages such as JavaScript, Java, Groovy, Python, SQL, or shell scripting.
• Knowledge of cloud technologies with emphasis on AWS-native applications, cloud scalability, and auto-scaling behavior.
• Knowledge of database technologies including Oracle, PostgreSQL, MongoDB, and ETL/ELT pipelines.
• Understanding of performance testing lifecycle, SDLC, Agile delivery, and non-functional requirements validation.
• Ability to communicate technical requirements to all levels of expertise.
• Proficient in establishing and maintaining good working relationships.
• Excellent communication and presentation skills.
• Strong experience with cloud monitoring tools and continuous delivery processes.
• Knowledge of code quality and promotion practices.

Responsibilities

• Develop and execute end-to-end performance test strategies for enterprise applications, AWS-native applications, APIs, microservices, and data platforms.
• Define performance objectives, workload models, test data needs, test schedules, and entry and exit criteria.
• Design and execute load, stress, endurance, scalability, resiliency, and capacity tests using NeoLoad and other enterprise tools.
• Automate performance test execution within CI/CD pipelines to support repeatable validation and release readiness.
• Analyze performance and resiliency test results across application, database, middleware, network, cloud, and infrastructure layers.
• Monitor key metrics such as response time, throughput, transaction volume, CPU, memory, I/O, and service degradation patterns.
• Identify bottlenecks, resiliency gaps, and performance risks to provide actionable recommendations to stakeholders.
• Support performance engineering for cloud modernization, data platform migrations, and high-volume processing solutions.
• Partner with architecture and engineering teams to recommend tuning opportunities and capacity improvements.
• Lead defect triage and root-cause analysis for performance issues and support production incident analysis.
• Establish performance baselines, dashboards, and reporting standards.
• Mentor team members on performance testing best practices, NeoLoad scripting, and cloud observability.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior