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Vetted Talent

Rishabh Khandelwal

Vetted Talent
Having experience of 3+ years, skilled in different tools and technologies used in today's world for agile development. Worked as SRE in DevOps, HPC, Cloud Computing, Data-Protection, CI/CD Workflows and still willing to learn more.
  • Role

    Software Engineer

  • Years of Experience

    4.8 years

Skillsets

  • Jenkins
  • Bash
  • C
  • C++
  • ELK Stack
  • GCP
  • Git
  • GitHub Actions
  • GitLab CI/CD
  • Grafana
  • Hyper-V
  • Azure
  • Linux
  • Livy
  • MLFlow
  • OpenShift
  • Oracle virtualbox
  • Prometheus
  • Rancher
  • Terraform
  • Zabbix
  • Spark oss
  • Kubernetes
  • Docker - 5 Years
  • Kubernetes - 5 Years
  • Kubernetes - 4 Years
  • Python - 5 Years
  • Github - 3 Years
  • GitLab
  • VMware vSphere
  • Windows Server
  • Python - 5 Years
  • Docker
  • Docker - 5 Years
  • Python
  • Docker
  • Kubernetes
  • Python
  • Docker
  • Kubernetes
  • Kubernetes
  • ArgoCD
  • AWS
  • AWS CloudFormation

Vetted For

8Skills
  • Roles & Skills
  • Results
  • Details
  • icon-skill_image
    DevOps Engineer (Remote)AI Screening
  • 44%
    icon-arrow-down
  • Skills assessed :AWS Certified DevOps Engineer, Certified Kubernetes Administrator, financial applications, RabbitMQ, Teraform, AWS, GCP, Kubernetes
  • Score: 40/90

Professional Summary

4.8Years
  • Jun, 2021 - Present4 yr 1 month

    Software Engineer

    SanData System / RedCloud Computing Pvt. Ltd.
  • Sep, 2020 - May, 2021 8 months

    Jr. DevOps Engineer / System Administrator

    SLK Techlabs Pvt. Ltd.

Applications & Tools Known

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    Git

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    Python

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    Docker

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    Kubernetes

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    AWS (Amazon Web Services)

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    Google Cloud Platform

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    Azure

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    Azure Active Directory

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    Terrafrom

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    Jenkins

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    Helm

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    Spinnaker

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    Zabbix

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    Terraform

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    Ansible

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    Veeam

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    Github

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    Rancher

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    AWS

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    GCP

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    OpenStack

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    Ubuntu

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    CentOS

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    Windows

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    Tomcat

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    Nginx

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    ArgoCD

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    Hyper-V

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    VMware ESXi

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    vSAN

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    Terraform

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    ELK Stack

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    Prometheus

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    Grafana

Work History

4.8Years

Software Engineer

SanData System / RedCloud Computing Pvt. Ltd.
Jun, 2021 - Present4 yr 1 month
    Automated deployment and lifecycle management operations of Azure Local using Python and REST APIs. Designed and implemented solutions for hybrid HPC Cloud Bursting and scalable data storage using AWS and GCP. Provided technical support for VMware vSphere and performed QA testing for Kubernetes services and data protection solutions.

Jr. DevOps Engineer / System Administrator

SLK Techlabs Pvt. Ltd.
Sep, 2020 - May, 2021 8 months
    Managed product deployments using CI/CD principles, migrated monolithic Docker applications to microservices architecture on Kubernetes, established centralized monitoring systems, and configured IPS/IDS systems to improve server security.

Achievements

  • Google Cloud Skills Boost
  • Google Cloud Skills Boost https://www.cloudskillsboost.google/public_profiles/d6ceb27c-6740-4d47-a965-046efe7b0804

Major Projects

7Projects

Automated Workload Provisioning and Lifecycle Management Operations

    Create python scripts to automate workload provisioning and lifecycle management operations using REST APIs for Azure Local workloads.

Hybrid Cloud Bursting for High Performance Computing (HPC)

    Designed a solution for migrating HPC workloads from on-premises to AWS/GCP to achieve zero downtime.

Kubernetes Application Operations and Services (KAOPS)

    Developed a platform for deploying and managing Kubernetes applications with monitoring and AIOps on OpenShift.

Google Anthos Managed Services

    Designed a SaaS platform using Google Anthos for managing multiple Kubernetes clusters with security constraints.

Data Protection as a Service (DPaaS)

    Architected a solution for enterprise data backup and disaster recovery using Veeam and Kasten K10 for Kubernetes.

Centralized Monitoring and Alerting System

    Implemented centralized monitoring using Zabbix for physical and virtual servers to ensure performance and uptime.

MLOps Pipeline for Automated Model Training

    Built an end-to-end MLOps pipeline using Jenkins and Git to automate CNN model training and deployment.

Education

  • Bachelor of Engineering

    M.B.M. Engineering College, Jodhpur (2020)

Certifications

  • AWS

    Amazon Web Services (Dec, 2021)

    Credential URL : Click here to view
  • Linux

    CKAD - CNCF (Jan, 2022)

    Credential URL : Click here to view
  • Google

    CKA - CNCF (Sep, 2021)

    Credential URL : Click here to view
  • Aws cloud practitioner

  • Microsoft az-900

  • Kcna

  • Expertise in docker

  • Openshift applications do101

  • Aviatrix multi-cloud associate

  • Cka

Interests

  • Badminton
  • Games
  • Watching Movies