Siddharth Singh

I’m a Quality Engineering Analyst with 4.5+ years of experience in performance engineering, delivering end-to-end performance testing for enterprise web, UI, API, and batch applications. I design and execute Load, Stress, Endurance, and Scalability testing with a strong focus on reliability, performance analysis, and SLA compliance.

In my current role at Infosys Ltd., I support a large-scale modernization program migrating 35+ legacy .NET applications and APIs from Azure laaS to Windows and Linux containers on AKS. I leverage Docker, Helm, DAPR, AKS auto-scaling, Azure Key Vault, and enhanced observability with AppDynamics and Splunk to improve scalability, resiliency, and deployment speed.

I gather Non-Functional Requirements (NFRs), define performance SLAs and test scope, and execute distributed performance test cycles in AKS-based environments. I develop performance test scripts using LoadRunner, monitor response times and container CPU/memory usage, and perform baseline comparisons to quantify performance gains between legacy and containerized workloads.

Previously, I performed performance testing for Web UI and API applications in the cloud-based healthcare payer platform Infosys Helix, simulating multiple concurrent users using JMeter. I identified slow APIs and database queries, collaborated with Development and Infrastructure teams for issue resolution, and strengthened script reliability through correlation, parameterization, and error handling.