Krish Iyer

Automation Test Lead

London, England, United Kingdom
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Summary

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Krish Iyer is an Automation Test Lead with over a decade in software testing and more than six years focused on building and leading automation efforts across web, desktop and Silverlight applications. Based in London, he combines hands-on expertise in Selenium (Java and JavaScript/Protractor), Eggplant Functional for desktop/device automation, and CI/CD pipelines (Jenkins, Eggplant Manager) to deliver repeatable, production-grade test automation. He has deep Agile experience (Scrum, TDD/BDD, Kanban), shapes test strategy and traceability, and routinely runs defect triage and 3 Amigos sessions to align quality with product goals. Beyond testing, Krish has contributed DevOps-style work on production-grade systems—deploying BigchainDB on Kubernetes with MongoDB, TLS and NGINX optimizations—bringing operational rigor to test environments. He’s equally comfortable training teams, documenting frameworks for maintainability, and using logs (Kibana) and BrowserStack for investigative debugging. Pragmatic and process-minded, he’s known for turning complex acceptance criteria into automated, maintainable test suites that accelerate delivery.
code12 years of coding experience
job3 years of employment as a software developer
bookBachelor's degree, Bachelor's degree at University of Mumbai
languagesEnglish, Hindi, Tamil
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Stats
922reputation
109kreached
15answers
32questions
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Github Skills (24)

ss10
kubernetes10
docker10
ssl10
sslv310
database-administration10
dockers10
mongodb-database10
kubernetes-pods10
nginx10
devops10
mongodb10
microsoft-azure9
azure9
blockchain7

Programming languages (18)

SmartyJavaCSSC++CScalaGoHTML

Github contributions (5)

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bigchaindb/bigchaindb

Dec 2016 - Sep 2017

Meet BigchainDB. The blockchain database.
Role in this project:
userDevOps & Database Engineer
Contributions:98 commits, 133 PRs, 336 pushes in 9 months
Contributions summary:Krish primarily contributed to the deployment and management of the BigchainDB infrastructure within a Kubernetes environment. Their work involved configuring MongoDB, setting up TLS/SSL for secure connections, and establishing MongoDB Cloud Manager integrations for monitoring and backup. They also focused on optimizing deployment processes and troubleshooting cluster issues. Additionally, the user implemented NGINX configurations for routing and security.
bftpythonbigchaindbblockchaindecentralized
bigchaindb/nginx_3scale

Mar 2017 - Aug 2017

Contributions:31 commits, 22 PRs, 25 pushes in 4 months
nginxnginx-configuration3scaledockeropenresty
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