Naveen Kizhepat

• Drove cloud reliability and performance for 25+ enterprise applications, leading root cause analysis, resiliency planning, and performance optimization across AWS, Azure, and on-prem environments.
• Architected observability and monitoring frameworks with AppDynamics, Dynatrace, Splunk, Grafana, OpenSearch, and Azure AppInsights, enabling proactive issue detection and reducing downtime risk.
• Implemented end-to-end automation and CICD pipelines for performance testing, server metrics reporting, and monitoring dashboards, streamlining operations and reducing manual effort by over 1 hour per test.
• Developed an AI-based log analyzer tool using Python to automatically analyze server and test logs, significantly reducing analysis time and effort for performance tests.
• Enhanced decision-making with AI insights, enabling faster identification of performance bottlenecks and root causes across complex applications.
• Integrated AI analysis with dashboards, providing visualized recommendations to stakeholders for continuous reliability improvements.
• Led high-performing teams of 4–20+ engineers in onshore/offshore models, overseeing resource allocation, mentoring, and driving the adoption of Kanban and best practices for reliability engineering.
• Engineered application resiliency and scalability, including stress/load testing, auto-scaling policy optimization, and migration of 500+ scripts from LoadRunner to JMeter, ensuring high availability and fault tolerance.

• Configured and optimized SAP performance testing environments, including server monitoring (CPU, memory, user sessions, processes) and workload profiling.
• Designed test plans, workload profiles, and load scenarios based on business and functional requirements, covering critical application flows.
• Conducted smoke, load, stress, and soak testing, including script review, re-scripting, and protocol identification to ensure accurate simulation of real-world usage.
• Performed in-depth performance analysis across individual modules and integrated applications, identifying bottlenecks and providing actionable insights.
• Delivered final test reports and dashboards with performance metrics, ensuring stakeholders had clear visibility into system behavior and reliability.

• Analyzed application architecture and system requirements, collaborating with architecture and development teams to design performance test strategies and plans.
• Conducted load, stress, and duration testing, identifying critical functionalities and validating application flows under realistic conditions.
• Configured and monitored application, web, and database servers using Sitescope and Wily Introscope, analyzing metrics for bottlenecks and capacity planning.
• Performed code reviews and results analysis, providing actionable recommendations to optimize performance and ensure adherence to standards.
• Documented server metrics, test results, and observations, enabling benchmarking, defect tracking, and continuous improvement across distributed teams.

Performance Engineering Achievements – GE CIS:

• Conducted end-to-end performance testing for SAP Web, Oracle NCA, and HTTP/HTML applications, validating critical business functionalities under load.
• Monitored application and infrastructure performance during tests, tracking CPU, memory, and usage patterns to detect bottlenecks and issues, like memory leaks.
• Analyzed test results across different application tiers, providing detailed reports on errors, bottlenecks, and system behavior for stakeholders.
• Prepared scripting guidelines and performance test documentation, ensuring consistent and high-quality automation practices.
• Delivered final performance test reports with actionable insights for infrastructure and application optimization.

Performance Engineering Achievements – GE CIS:

• Conducted end-to-end performance testing for SAP Web, Oracle NCA, and HTTP/HTML applications, validating critical business functionalities under load.
• Monitored application and infrastructure performance during tests, tracking CPU, memory, and usage patterns to detect bottlenecks and issues like memory leaks.
• Analyzed test results across different application tiers, providing detailed reports on errors, bottlenecks, and system behavior for stakeholders.
• Prepared scripting guidelines and performance test documentation, ensuring consistent and high-quality automation practices.
• Delivered final performance test reports with actionable insights for infrastructure and application optimization.