As a Principal Software Development Engineer in Test (SDET) on the R&D Automation Team, I specialize in building robust testing frameworks and infrastructure that empower sprint and quality teams to automate, load test, and perform efficiently at scale. I’m the architect behind a scalable load testing framework using Gatling, supporting multiple distinct load testing patterns, which is critical for ensuring peak performance and reliability.Key achievements include:- Designing and maintaining a common Jenkins pipeline used across sprint and quality teams for automated load testing.- Implementing real-time DB logging and integrating Datadog metrics, delivering comprehensive, centralized reporting through a custom-built web dashboard.- Establishing a graceful test abort mechanism that monitors service health during testing, ensuring reliability under load.- Leading innovation in chaos engineering with a successful AWS FIS POC.- Streamlining test insights by integrating custom Gatling loggers, advanced URL mapping, and Slack notifications for seamless collaboration and tracking.- Experienced in Java Dropwizard for endpoint development related to automation frameworks.- Extensive work on UI automation test case management to ensure maximum test coverage.- Act as an acting manager, leading a team of 5 members while driving automation and performance testing initiatives as part of an individual contributor (IC) role.- I spearheaded the initiative to implement AWS Farage for auto-scaling Jenkins nodes, significantly reducing operational costs and efficiently handling scaling demands.- I'm also responsible for managing the Jenkins server on AWS EC2, ensuring its seamless operation and scalability.

- Gained expertise in Gatling and developed a unique load testing framework for consistent use across the organization.- Built a Jenkins pipeline to streamline and manage the entire load testing process.- Integrated Grafana dashboards with InfluxDB for real-time monitoring of load test results.- Developed Docker images for Grafana and InfluxDB, with custom configurations for seamless deployment.- Explored and successfully integrated Karate-Gatling, creating a utility that allows existing Karate feature files to be utilized for load testing within Gatling.- Implemented the Sitespeed framework to capture the performance metrics of applications under load using Gatling for backend testing.- Automated Splunk metrics collection after load test completion to ensure comprehensive data analysis.- Integrated AWS S3 for automatic uploading of Gatling HTML reports, making them easily accessible across the organization.

- Gained proficiency in SilkPerformer for load testing.- Developed scripts using JMeter, SilkPerformer, and LoadRunner across multiple projects.- Configured distributed load testing environments with Master-Slave setups.- Generated and managed test data for large-scale user simulations in distributed environments.- Executed load tests, generated detailed performance reports, and monitored server health using NewRelic.- Provided clients with comprehensive load test summaries, including key observations and insights.

- Developed and executed load testing scripts using JMeter and LoadRunner across multiple projects.- Set up environments for distributed load testing, including Master-Slave configurations.- Performed test execution and generated detailed performance reports for analysis.