Position Overview
The Performance Testing Senior Analyst will support engineering teams in ensuring the performance, reliability, and resiliency of critical applications and services. This role focuses on hands-on performance testing execution, analysis, and reporting, working closely with developers, architects, and QA teams in an agile environment.
The role will contribute to testing some of the organization's most critical access-to-care and enterprise applications, with specific emphasis on performance testing and emerging AI-enabled testing practices.
Key Responsibilities
- Participate in the design, scheduling, and execution of performance testing activities including load, stress, volume, and scalability testing
- Assist in defining performance testing objectives, scope, and success criteria
- Create and execute performance test plans and strategies under guidance from senior QA or engineering leads
- Develop, maintain, and execute NeoLoad test scripts and scenarios
- Prepare and manage test data required for performance testing
- Configure and validate performance test environments in collaboration with DevOps and engineering teams
- Execute performance tests and ensure consistent monitoring and metrics collection
- Analyze test results to identify performance bottlenecks, risks, and trends
- Prepare clear and concise performance test reports and share findings with stakeholders
- Collaborate with development, QA, DevOps, and product teams to support defect resolution and performance tuning
- Support continuous improvement initiatives by analyzing recurring issues and recommending practical improvements
- Participate in agile ceremonies such as sprint planning, stand-ups, retrospectives, and design discussions
- Monitor the performance of existing internal systems and applications as required
Required Skills & Qualifications
- 2–4 years of experience in software testing with a strong focus on Performance and non-functional testing
- Hands-on experience with NeoLoad for performance testing (test design, execution, and analysis)
- Experience working with performance test scripts and scenarios in real-world applications
- Basic hands-on experience with AI-enabled testing tools or concepts, such as AI-assisted test optimization, anomaly detection, or result analysis
- Using AI features within testing tools or applying ML-based insights to testing outcomes
- Basic knowledge of Java or similar object-oriented programming languages
- Solid understanding of object-oriented programming concepts
- Good understanding of REST API concepts, including request/response validation
- Experience identifying performance issues related to API, application, or infrastructure layers
- Familiarity with Agile / Scrum methodologies and enterprise SDLC processes
- Exposure to cloud platforms such as AWS and/or OpenShift is desirable
- Proficient in Microsoft Office (Excel, Word, PowerPoint) for reporting and analysis
- Strong analytical and problem-solving skills
- Ability to work independently as well as collaboratively within cross-functional teams
- Comfortable working in a fast-paced, delivery-focused environment
Nice to Have
- Exposure to performance testing in cloud-native or microservices-based architectures
- Awareness of monitoring and APM tools (e.g., basic metrics, dashboards, alerts)
- Experience working on healthcare, insurance, or highly regulated systems (optional)
