Sanjay S.

Managed performance engineering for various production healthcare platforms, ensuring both scalability and reliability across different environments. Conducted thorough root cause analysis (RCA) and implemented focused optimizations to achieve significant system latency improvements. Developed a performance testing framework utilizing Playwright and Artillery for browser-based simulations. Established a pre-release performance validation strategy to mitigate production risks and enhance deployment confidence. Executed detailed performance analysis across microservices, MongoDB, and Elasticsearch, pinpointing bottlenecks and potential scalability challenges. Automated RCA reporting and JMeter script generation with AI-driven internal tools, enhancing team efficiency. Provided insights for system design decisions regarding service interactions and resource utilization, while contributing to web service consolidation for improved efficiency. Guided QA engineers and collaborated with cross-functional teams to promote performance best practices. Configured realistic performance test environments for accurate benchmarking and defined key performance indicators (KPIs), utilizing observability tools for continuous monitoring. Analyzed system behavior under load to identify application, database, and infrastructure bottlenecks.

Oversaw performance engineering for large-scale platforms, including the digital identity system MOSIP and Ingram Micro Xvantage, focusing on distributed architectures. Engaged in performance benchmarking and environment setup for extensive distributed systems. Employed profiling tools to analyze JVM behavior and application performance, identifying memory and thread-level bottlenecks. Ensured the performance of over 300 APIs by managing and validating scalability, reliability, and adherence to service-level agreements (SLAs). Created and implemented load testing frameworks with JMeter and BlazeMeter to simulate real-world traffic patterns. Conducted in-depth analysis using Datadog, Grafana, Kibana, and JProfiler, identifying constraints and opportunities for optimization. Assessed system scalability and load balancing, contributing to enhanced stability during high-load situations. Delivered actionable insights from root cause analysis to engineering teams for performance enhancements across releases. Collaborated with various teams on release planning, deployments, and performance validation, reinforcing production readiness.

Executed performance testing for enterprise systems across telecommunications, healthcare, and manufacturing sectors, supporting large-scale applications. Developed and implemented comprehensive performance test strategies for web applications, APIs, and Oracle systems. Constructed performance scripts using JMeter and LoadRunner for realistic load simulations. Analyzed application and database performance during load conditions utilizing Dynatrace, AppDynamics, and Grafana. Identified and addressed performance bottlenecks and system inefficiencies to enhance application stability and response times. Assisted in test planning, execution, and defect management across multiple Agile releases, achieving marked latency reductions and lowering production errors. Led extensive performance testing initiatives involving high concurrent user scenarios while creating AI-driven automation tools for scripting and RCA.