Radha Krishna Saram

• Configure and maintain observability capabilities for applications and infrastructure in partnership with SRE and AIOps teams, ensuring production readiness through code, configuration, and infrastructure assessments
• Lead customer-facing application, internal enterprise applications, and API delivery teams for smooth onboarding to performance testing frameworks and observability solutions
• Manage vendor transition activities including data/script acquisition from previous vendors, ensuring seamless knowledge transfer and continuity of testing processes
• Provide project estimation for delivery timelines and resource allocation, optimizing team capacity and hours allocation for multiple concurrent performance testing initiatives
• Deliver quarterly metrics reports to management on projects executed, defects raised, performance improvements achieved, and overall testing effectiveness
• Drive Center of Excellence (CoE) initiatives by researching and providing insights on new advancements in performance testing and observability technologies, tools, and methodologies
• Implement AI-driven analytics for root cause analysis, minimizing false positives and improving detection accuracy by 35% through fine-tuned monitoring algorithms
• Design and maintain comprehensive dashboards implementing APM, log analytics, error analytics, and business analytics using Dynatrace, Splunk, and AWS CloudWatch
• Develop automated monitoring and alerting solutions for software delivery and production environments using Dynatrace, ServiceNow, Ansible, OpenTelemetry, and AWS CloudWatch
• Monitor cloud and on-premises application stability trends, proactively identifying opportunities to improve performance and availability, reducing MTTR by 25%
• Collaborate with Incident and Problem Managers to drive blameless RCA, postmortems, and RCRs, leveraging observability tool expertise for continuous improvement

• Evaluated third-party solutions for potential integration into existing systems while maintaining or improving overall performance characteristics.
• Leveraged industry-standard tools such as JMeter and LoadRunner for accurate measurement of system throughput, latency, and resource utilization metrics.
• Optimized database queries, enhancing overall application efficiency and user experience.
• Designed load testing scenarios to simulate real-world usage patterns, validating system capabilities under peak conditions.

• Optimized software infrastructure by conducting capacity planning and scalability assessments to prevent future bottlenecks.
• Increased efficiency of test cycles by creating reusable test scripts, saving time and resources.
• Conducted load, stress and endurance tests using Loadrunner to simulate realistic user activities.
• Built automated test scripts to handle repetitive software testing work.
• Used monitoring tools like Newrelic and solarwinds tools on frequent basis.
• Delivered valuable insights through detailed reporting and documentation on test findings, increasing stakeholder confidence in application stability.
• Enhanced application performance by conducting comprehensive analysis and identifying bottlenecks.
• Championed a culture of collaboration and knowledge sharing within the performance engineering team, fostering continuous improvement and innovation.
• Conducted root cause analysis for critical defects discovered during testing phases, enabling swift resolution of high-priority issues before deployment.
• Evaluated new technologies and tools to enhance the capabilities of the performance engineering team.
• Designed scalable test environments that accurately replicated real-world usage conditions for precise assessments.
• Optimized system efficiency through rigorous load, stress, and endurance testing procedures.
• Recommended changes and corrections to developers for optimal software performance and usability.
• Learned and adapted quickly to new technology and software applications.

• Enhanced system performance by implementing optimization strategies and conducting thorough analyses.
• Promoted a proactive approach towards software tuning by regularly profiling codebases and making targeted adjustments.
• Effectively developed models, assemblies and drawings using Jmeter, Loadrunner and Neoload.
• Surveyed potential project sites before design, checking for space restrictions, mechanical feasibility and manufacturers guidelines.
• Created, prototyped and tested [Type] systems for [Number] clients.
• Introduced automated load testing into the continuous integration pipeline, identifying potential bottlenecks early in the development process.
• Troubleshot and diagnosed [Type] equipment issues, quickly made plans for repairs and monitored use to rectify issues.
• Reviewed scalability, performance and load balancing of each application.
• Examined existing documents and blueprints to best update and maintain project records.
• Presented findings from performance reviews to stakeholders, facilitating informed decision-making regarding resource allocation and product roadmaps.
• Collaborated with development teams to identify bottlenecks and improve overall application efficiency.
• Reduced load times for critical applications by optimizing database queries and refining server configurations.
• Championed the adoption of containerization technologies for enhanced scalability and resource efficiency, leading to significant cost savings and improved application performance.
• Implemented caching strategies throughout various layers of the application stack to reduce latency and increase throughput rates.
• Used monitoring tools like [Type] and [Type] tools on frequent basis.