User

DevOps Developer

BMT Score
86
86%
  • Remote

Available for

About KEYUR P

Highly skilled and motivated DevOps Engineer with a proven track record of designing, implementing, and managing robust and scalable DevOps solutions. Possessing extensive knowledge of software development, administration, and continuous integration/continuous deployment (CI/CD) processes. Adept at bridging the gap between development and operations teams to optimize workflows and enhance the overall efficiency of software delivery. Demonstrated expertise in automating processes, cloud technologies, and containerization. Excellent problem-solving abilities and a passion for staying up to date with the latest trends in DevOps and technology.

Work Experience

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Devops Developer

  • January 2016 - June 2023 - 7 Year
  • India

Projects

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Dragonfly Platform

  • January 2016 - January 2017 - 13 Months
Technologies
Role & Responsibility
    Maglev based cloud environments provides a vendor agnostic application hosting platform for services developed by Cisco engineers. This platform incorporates the best of breed cloud architecture and design principles. There would be offers, managed services and observability services running on this platform. The goal was to enhance the deployment workflow, increase deployment efficiency, and ensure consistent, error-free releases by setting up monitoring solutions (e.g., Prometheus Stack & Grafana) to monitor the health and performance of microservices. Implementing centralized logging (e.g., ELK stack) to collect and analyse logs for troubleshooting and auditing.
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Smart City Verification

  • January 2017 - June 2018 - 18 Months
Technologies
Role & Responsibility
    Smart City Verification has a web portal, which manages hundreds of video and core nodes. Video Nodes allows object and event detection within the device using real-time, on-board analytic processing of its camera images. Core Nodes allow LED lighting creates high- speed, sensor-based, multiservice, open networking platform known as a Light Sensory Network (LSN). LSNs help lighting owners improve lighting control and energy efficiency. The goal was to monitor this cloud-based platform & helping it making stable for release. Monitoring & maintaining AWS Production Platform. Setting up monitoring tools (Datadog) required for monitoring the production server. Creating process monitors, metrics monitors etc in Datadog
     
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Industry Expertise

Education

Education

in Bachelor of Technology

Gujarat University
  • June 2013 - June 2016

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