Krushnat More
@krushnatmore
I build cloud platforms, automation, and AI-enabled solutions for large-scale engineering teams.
What I'm looking for
At Netskope, I lead the end-to-end lifecycle of production Docker images, spanning portal development, image maintenance, automated vulnerability remediation, upgrades, and proactive notifications. I also built EP-Auto Boost, a Go-based platform that helps the Netskope user base work across different build systems.
Previously at Amazon, I delivered Java and AWS serverless solutions, onboarded more than 60% of BuyX teams to the Golive LPT Tool, and led migration of 16 million inventory items for DC WMS adoption. Across Cohesity, Druva, Hitachi Data Systems, and Veritas, I built test automation and storage solutions using Python, Perl, AWS, VMware, Hyper-V, and Nutanix APIs.
Experience
Work history, roles, and key accomplishments
Led a team responsible for the end-to-end lifecycle of production Docker images, including web portal development, image development and maintenance, automated vulnerability remediation, and automated upgrades with proactive notifications. Built and delivered a Go-based solution (EP-Auto Boost) as a single platform to help the entire Netskope user base work with different build systems.
Built and delivered a Java-based PAAS solution (Golive LPT Tool) as part of the DP Tools team, onboarding over 60% of BuyX teams. Built and delivered an AWS-based serverless solution in Java, leading the team to migrate 16M inventory items for the DC WMS Adoption project.
Completed automation of Cohesity product release tests using Python.
Foundation engineer who led the Phoenix SDET team, driving test automation projects from conceptualization to execution. Automated over 60% of tests using Python, AWS, VMware, HyperV SDKs, and Nutanix REST APIs.
Designed and developed the Hitachi Storage Adapter for Oracle ASRU using Python.
Automated over 5% of VCS SFRAC product regression tests using Perl.
Education
Degrees, certifications, and relevant coursework
Georgia Institute of Technology
Master of Science, Computer Science
2019 - 2020
Grade: 3.38
Pursued a Master of Science in Computer Science with a specialization in Machine Learning, achieving a GPA of 3.38.
Walchand College of Engineering
Bachelor of Engineering, Information Technology
2005 - 2009
Grade: 60%
Earned a Bachelor of Engineering in Information Technology with a GPA of 60%.
Availability
Location
Authorized to work in
Job categories
Skills
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