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Avinash Barde

Vetted Talent

Avinash Barde

Vetted Talent

5.7 years of Backend Development and deployment experience.

Worked on multiple projects in cloud native domain.

Working experience on microservice development and deployment on Kubernetes platforms using helm charts and DevSecOps.

Hands-on with multiple technologies related to back-end development and cloud DevOps.

Result-oriented, self-motivated, and learning-focused Senior software engineer with 5+ years of experience in design, development, and deployment of enterprise-level cloud-native applications.

  • Role

    Senior Software Engineer (Golang)

  • Years of Experience

    5.7 years

Skillsets

  • Dast
  • Microservices Architecture - 5 Years
  • Docker - 5 Years
  • Linux - 5 Years
  • RestAPI - 5 Years
  • DevOps
  • DevSecOps
  • Go
  • SonarQube
  • Snyk
  • Trivy
  • Sast
  • Aws/azure - 4 Years
  • Git actions
  • Sysdig alerts
  • NA - 5.7 Years
  • Shell Scripting - 5 Years
  • Azure DevOps - 3 Years
  • YAML - 5 Years
  • Computer & Network Security - 2 Years
  • SQL - 5 Years
  • Restful APIs - 5 Years
  • Go/Python/Java. - 5 Years
  • MongoDB
  • AWS - 5 Years
  • Azure - 3 Years
  • Backend Development
  • CI/CD - 5 Years
  • Golang - 4 Years
  • Grafana
  • Helm
  • infrastructure as code - 5 Years
  • Kubernetes - 5 Years
  • MicroServices
  • ArgoCD
  • MySQL
  • Nodejs
  • Okta
  • Prometheus
  • Python - 3 Years
  • ReactJS
  • Terraform - 5 Years
  • Cloud-native
  • Tekton
  • Ibm cloud

Vetted For

15Skills
  • Roles & Skills
  • Results
  • Details
  • icon-skill_image
    Senior Software Engineer, DevOpsAI Screening
  • 70%
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  • Skills assessed :infrastructure as code, Terraform, AWS, Azure, Docker, Kubernetes, Linux, Python, AWS Sagemaker, gcp vertex, Google Cloud, Kubeflow, ml architectures and lifecycle, pulumi, seldon
  • Score: 70/100

Professional Summary

5.7Years
  • Jan, 2022 - Present3 yr

    DevSecOps

    Great Software Laboratory
  • Jan, 2020 - Jan, 20222 yr

    MCMP Turbonomics Integration

    Great Software Laboratory
  • Jun, 2019 - Jan, 2020 7 months

    CP4MCM-MCMP Integration

    Great Software Laboratory
  • Senior DevOps Engineer (DevSecOps)

    Great Software Laboratory

Applications & Tools Known

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    Golang

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    Kubernetes

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    Docker

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    Terraform

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    AWS

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    Azure

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    NodeJS

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    Python

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    Git Actions

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    Helm

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    MongoDB

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    Linux

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    IAM

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    MySQL

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    Grafana

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    Prometheus

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    Tekton

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    ArgoCD

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    Monitoring Tools

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    Okta

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    IBM Cloud Pak

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    ReactJS

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    DevSecOps

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    Snyk

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    Trivy

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    SAST

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    DAST

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    DevOps

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    SonarQube

Work History

5.7Years

DevSecOps

Great Software Laboratory
Jan, 2022 - Present3 yr
    As a part of DevSecOps initiative team delivered two major products Learning Management System (LMS) and Private ChatBot. Implementation and Deployment of different tools and technologies with cloud-native technologies and documenting those findings in the reference architecture for future projects. Created a customizable reference architecture for cloud-native DevSecOps so that any organization can adopt this as a reference and implement DevSecOps practice.

MCMP Turbonomics Integration

Great Software Laboratory
Jan, 2020 - Jan, 20222 yr
    Turbonomic Integration with MCMP Broker to monitor Kubernetes deployed application performance, cloud-deployed instances monitoring with insight for cost savings.

CP4MCM-MCMP Integration

Great Software Laboratory
Jun, 2019 - Jan, 2020 7 months
    A Multi-cloud enterprise management web application that allows companies to manage different clouds in a single application. This app provides the provisioning and management of infra resources of different cloud providers.

Senior DevOps Engineer (DevSecOps)

Great Software Laboratory
    Design and assign the stories to the engineers on the Azure board and track the stories and perform the code reviews. Explore various security tools and integrate them in the pipeline. Creation of customizable reference architecture for DevSecOps Practice. Created a Learning management System(LMS) and Private ChatBot out of DevSecOps reference architecture. Designed and developed auth adaptors for Okta SSO. CICD pipelines in cloud (AWS / Azure). Develop infrastructure pipeline with terraform on the cloud. Cloud agnostic pipelines using git actions. Developed and deployed a course out of reference architecture that will help engineers/students of the university. Using Terraform Deploy Infra for Kyndryl University Project on AWS. Using Terraform Deployed static site infra for Mkdocs site pages to S3 with CloudFront Distribution, for CI/CD push static site from GitHub using GitHub Action to S3 which reduced code of infra to 98%.

Achievements

  • Created and deployed a customizable reference architecture for cloud-native DevSecOps.
  • Developed and maintained backend services for LMS and Private ChatBot.
  • Developed and deployed infrastructure pipelines and static site infra using Terraform on cloud platforms.
  • Org save 90%+ cost of adopting DevSecOps into their products

Major Projects

4Projects

DevSecOps

    As a part of kyndryl bridge initiative team delivered two major products Learning Management System(LMS) and Private ChatBot. Implementation and Deployment of different tools and technologies with cloud-native technologies and documenting those findings in the reference architecture for future projects. Created a customizable reference architecture for cloud-native DevSecOps so that any organization can adopt this as a reference and implement DevSecOps practice.

Learning Management System (LMS) and Private ChatBot

Jan, 2022 - Present3 yr
    Part of a DevSecOps initiative team delivering two major products., Implementation and Deployment of different tools and technologies with cloud-native technologies and documenting those findings in the reference architecture for future projects.

MCMP Turbonomics Integration

Jan, 2020 - Jan, 20222 yr
    Turbonomic Integration with MCMP Broker to monitor Kubernetes deployed application performance, cloud-deployed instances monitoring with insight for cost savings. Users get unique real-time visibility on the resources for every application monitored by MCMP-AIOPS.

CP4MCM-MCMP Integration

Jun, 2019 - Jan, 2020 7 months
    A Multi-cloud enterprise management web application that allows companies to manage different clouds in a single application.

Education

  • Master of Science (Computer Science)

    Pune University (2019)
  • Master of Science

    Pune University