Kedar Vaidya
Engineering Manager, Developer Productivity (Web JS Infrastructure) at Yelp
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKedar Vaidya is an Engineering Manager leading Developer Productivity for Web JS Infrastructure at Yelp, bringing 12 years of experience building developer tooling and platform automation. He moved up through hands-on roles at Yelp from full-stack engineer and technical lead to his current management role, blending people leadership with deep implementation experience. Kedar has practical expertise in infrastructure automation and deployment pipelines, demonstrated by contributions to the widely-used open PaaSTA platform where he improved configuration management, deploy automation, and YAML-preserving tooling. Based in San Francisco, he pairs an MS from Georgia Tech and a BS from Purdue with a track record of shipping pragmatic solutions that reduce toil for engineering teams. Colleagues describe him as a manager who still dives into code to unblock systems-level problems, especially around web/JS infra.
12 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Master of Science - MS at Georgia Institute of TechnologyBachelor of Science (B.S.), Bachelor of Science (B.S.) at Purdue University
German, English
Github Skills (11)
kubernetes10
automation10
infrastructure10
automations10
docker10
paas10
dockers10
cicd10
kubernetes-pods10
yaml10
python9
Programming languages (11)
Github contributions (5)
Yelp/paasta
Jul 2021 - Aug 2022
An open, distributed platform as a service
Role in this project:
DevOps Engineer
DevOps EngineerContributions:13 reviews, 39 commits, 25 PRs in 1 year 1 month
Contributions summary:Kedar primarily focused on enhancing the PaaSTA platform's configuration management and deployment processes. Their work involved modifying configuration utilities, adding scripts for automated deploy group management, and improving the service sharding process. They also implemented features like maintaining YAML comments, and integrating with smartstack configurations, demonstrating a strong understanding of infrastructure automation and deployment pipelines.
mesosdockerplatform-as-a-servicedistributed-systemsmicroservices
kedarv/cod-dash
Jan 2021 - Sep 2022
Contributions:2 reviews, 2 PRs, 30 pushes in 1 year 9 months
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