Designed and developed microservice integration tests using GINKGO, GOMEGA, GOTEST with builders patterns and enabled them to run in containers and kubernetes pods using docker containers and kubernetes orchestration.

Designed and developed E2E integration customer scenarios in microservices and executed them on live services hosted on AWS clusters.

Build end to end gitlab CICD pipeline for deployment of microservices code in all cluster environments hosted on AWS, and to schedule the jobs asynchronously at regular intervals to track health of services.

Built automation scenarios around AWS Message queueing system for microservices.

Trace and debug various failures of microservices using inbuilt splunk skynet logs and omnition tools. Crafted complicated alerting queries in skynet logs for on call paging.

Wrote and maintained API tests that run in the public internet using blazemeter runscope tool.

Analyzed the behavior and functionality of vital Splunk features and contributed automation, maintenance and triaging efforts across various features in Splunk enterprise (stand alone, distributed, clustered etc.) and Splunk Enterprise cloud using Python.

Verified the Beta candidates of Splunk enterprise product before the candidate is released to the client. Similar efforts for different alpha, beta versions were verified for Splunk microservices.

Performed the functionality test across various platforms like Linux, windows, Mac, Solaris to ensure the platform compatibility. Contributed automation efforts for both Splunk front end and back end platforms.