Performance Test Engineer

Performance Testing Consultant (Mid Level)

• Education: Graduation in Computer Science, Information Technology, Engineering, or a related discipline. • 5+ years of hands on experience in performance testing and performance engineering for web or enterprise applications. • Strong expertise in LoadRunner for scripting, scenario design, execution, and analysis. • Proven experience in end to end Performance Testing (load, stress, endurance, spike) including test planning and execution. • Solid background in Performance Engineering, including bottleneck identification, tuning recommendations, and capacity considerations. • Practical experience using Dynatrace (or similar APM tools) for monitoring, tracing, and root cause analysis during performance tests. • Hands on experience with Cloud Performance Testing for applications hosted on public or private cloud environments. • Effective verbal and written communication skills to interact with cross functional and client teams. Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity; sexual orientation, religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. • Design, plan, and execute end to end performance test strategies (load, stress, endurance, scalability) for complex enterprise and cloud based applications. • Develop, parameterize, and maintain robust LoadRunner scripts, scenarios, and workloads aligned with business usage patterns, including advanced correlation, parameterization, think time modeling, error handling, custom logic, and data driven frameworks. • Perform in depth performance analysis using Dynatrace and other monitoring tools to identify bottlenecks across application, database, network, and infrastructure layers. • Collaborate with architects, developers, platform, infrastructure, and operations teams to define performance scope, SLAs/SLOs, KPIs, and success criteria, interpret performance results, diagnose root causes, and recommend tuning and optimization strategies. • Lead performance engineering activities, including capacity planning, sizing, and performance modeling for on premise and cloud environments, with a strong focus on microservices, REST APIs, async workflows, and batch processing. • Conduct cloud performance testing across major platforms (e.g., autoscaling, elasticity, resilience), validating SLAs and non functional requirements, and evaluating limits/requests, node saturation, and cluster level constraints. • Prepare clear, data driven performance reports, dashboards, and presentations for technical and business stakeholders, communicating complex technical findings in a concise and business relevant manner. • Guide project teams on performance best practices throughout the SDLC and support shift left performance testing approaches, including early requirements clarification and performance risk identification. • Mentor junior team members in performance testing techniques, tools usage, and analysis methods, fostering a self driven, ownership mindset within the team. • Independently identify performance work items, define approaches, and execute performance engagements end to end, including test plan creation, scenario design, data modeling, and dashboard setup. • Drive performance analysis and bottleneck identification across the full stack (application, JVM/GC, database, infrastructure, and container platforms) without waiting for direction, providing concrete tuning recommendations.