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Shashvat Gupta

@shashvatgupta

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DevOps Engineer with 5+ years of experience

India

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What I'm looking for

Looking for a challenging role that leverages my DevOps expertise to drive innovation and collaboration in a dynamic environment.

As a seasoned DevOps Engineer, I bring over 5 years of experience in designing and implementing scalable, reliable infrastructure solutions. My expertise lies in automating and managing deployment and configuration processes across multiple cloud environments. I'm proficient in scripting and have hands-on experience with both proprietary and open-source cloud-native tools for comprehensive DevOps processes and better team collaboration.

Throughout my career, I've worked on various projects, including deploying multiple successful releases to production environments, Dockerizing applications, and migrating infrastructure resources from on-prem datacenters to cloud environments. I've also developed and deployed multiple CICD pipelines, integrated services, and automated deployment of databases and Kubernetes applications.

I hold certifications in Microsoft Azure Fundamentals, Kubernetes Certified Application Developer, and Istio Hands-On for Kubernetes, among others. I'm passionate about staying up-to-date with the latest trends and technologies in the DevOps space.

Experience

Work history, roles, and key accomplishments

Current

DevOps Engineer

Current

HCL Tech

Nov 2021 - Present (3 years 6 months)

Designed and implemented scalable, reliable infrastructure solutions. Automated and managed deployment and configuration processes across multiple cloud environments.

Azure DevOps Jenkins GitHub Actions Microsoft Azure Terraform Docker Kubernetes PowerShell

Project Engineer

Wipro Ltd

Oct 2019 - Nov 2021 (2 years 1 month)

Worked on DevOps-related activities such as server health, VM creation, and resource management.

PowerShell

Release Manager

Canary Medical

Deployed multiple successful releases to the production environment. Dockerization of 100+ applications from scratch through to final deployment in the Kubernetes cluster.