Rajesh  ·  Lead Multi-Cloud DevOps Engineer  ·  10+ yrs

Principal
10+ years experiencehybrid
Available within 48 hrs

Proof of scale

60% setup time reduction
45% system downtime reduction
100% of cloud environments managed
100% of cloud environments managed60% setup time reduction45% system downtime reduction

About Rajesh

Rajesh is a DevOps Engineer with 9+ years of experience in cloud management and automation. He has a proven track record in leading DevOps transformations and optimizing cloud infrastructures.

10+ years of commercial experience in

Skills(13)

AWSAzureGCPTerraformDockerKubernetesPythonBashJenkinsSDNAzure DevOpsLinuxGit

Why hire Rajesh?

Production deploy authorityMentored 5+ juniors

Managed 100% of existing AWS/Azure Cloud environments

Reduced manual setup time by 60% through automation

Decreased system downtime by 45% for critical applications

Led a team of 6 Engineers in monitoring and alerting systems

Implemented CI/CD pipelines for Django applications

Reduced manual infrastructure setup time by 60% on AWS and GCP using Terraform.

Decreased system downtime for critical applications by 45% through robust monitoring and alerting.

Increased production rates by 20% and reduced machine downtime by 15% through Python-script automation.

Project highlights(6)

MyRewards PortalDevOps and Cloud Specialist

Overview: This project focused on the complete lifecycle management of a customer rewards portal, including migrating its on-premises infrastructure to the cloud. Responsibilities: Involved in setting up infrastructure and deployment pipelines, designing the overall transformation strategy, and implementing DevOps & DevSecOps practices. Managed 100% of existing AWS/Azure Cloud environments, overseeing automation, monitoring metrics, disaster recovery/backups, and capacity planning.

AWSAzureTerraformDockerKubernetes

Key outcomes:

  • Reduced manual setup time by 60% through automated infrastructure deployment on AWS and GCP using Terraform.

  • Reduced system downtime for critical applications by 45% by implementing robust monitoring and alerting tools.

Automated CI/CD Pipeline for Django Web ApplicationDevOps Engineer

Overview: This project involved creating a fully automated CI/CD pipeline for a Django Todo-List web application. Responsibilities: Created the CI/CD Pipeline for a 'Django Todo-List App' from development to deployment. Deployed the project on Amazon AWS EC2 Instance with the help of Docker and Jenkins.

AWSDockerJenkins

Key outcomes:

  • Successfully created and deployed a CI/CD pipeline for a Django web application.

Cloud Management & AutomationCloud Specialist

  • This initiative focused on optimizing cloud infrastructure management and automation practices for various systems.
  • Key activities included developing proof of concepts, designing technical training, and managing data migration.
  • Developed and operated a proof of concept (POC) for IKEA store Cloud/SDN solution integration with SDN and Cloud ecosystems.
  • Designed technical training material for internal resources to simplify and scale up their cloud solutions.
  • Managed data configuration for migration of traditional infrastructure to cloud-based automated infrastructure.
  • Played a key role in architectural discussions to design solutions and ensure successful deployment & security in the cloud.
SDNAWSAzureGCP

Key outcomes:

  • Successfully developed and operated a POC for cloud/SDN solution integration for a major retail client.

  • Contributed to architectural discussions, ensuring secure and successful cloud deployments.

  • Managed data configuration for automated cloud migration.

Automating LVM PartitionSoftware Engineer

  • This project involved automating Logical Volume Management (LVM) partition processes to enhance efficiency and reduce manual effort.
  • The automation aimed to improve production rates and minimize machine downtime.
  • Achieved a 20% increase in production rates by implementing lean manufacturing principles and optimizing workflow processes.
  • Reduced machine downtime by 15% through predictive maintenance strategies facilitated by Python-script automation.
Python

Key outcomes:

  • Increased production rates by 20% through workflow optimization and lean manufacturing principles.

  • Reduced machine downtime by 15% using predictive maintenance strategies and Python scripting.

AzureDevops Administration ManagementModule Lead Engineer

  • This role focused on leading a team in managing Azure DevOps environments, encompassing monitoring, administration, and pipeline management across multiple countries.
  • The objective was to ensure robust, always-on web environments and continuous process improvement.
  • Led a team of 6 Engineers to independently design and manage monitoring and alerting systems across 3+ countries.
  • Directed system administration tasks for the Linux environment and deployed software in an always-on web environment.
  • Supervised troubleshooting of production issues and updated software patches.
  • Ensured pipelines were running smoothly and owned/operated 100% of all configuration and release management governance.
  • Automated routine tasks via Shell scripting for boosting personnel productivity & organizational efficiency.
Azure DevOpsLinuxBash

Key outcomes:

  • Led a team of 6 engineers to manage monitoring and alerting systems across 3+ countries.

  • Owned and operated 100% of all configuration and release management governance.

  • Automated routine tasks via Shell scripting to boost personnel productivity and organizational efficiency.

Industry experience

E-commerce

1 project
  • Cloud Management & AutomationCloud SpecialistSDN · AWS · Azure · GCP

Manufacturing & Industrial

3 projects
  • Automating LVM PartitionSoftware EngineerPython
  • AzureDevops Administration ManagementModule Lead EngineerAzure DevOps · Linux · Bash
  • Application/FarmersFirstSenior QAGit

SaaS / B2B

3 projects
  • MyRewards PortalDevOps and Cloud SpecialistAWS · Azure · Terraform · Docker +1
  • Cloud Management & AutomationCloud SpecialistSDN · AWS · Azure · GCP
  • Automating LVM PartitionSoftware EngineerPython

Ready to work with Rajesh?

Schedule an interview and onboard within 48 hours. No long hiring cycles.

At a Glance

Experience10+ years
Work modehybrid
Starting from₹2.2 L/mo
Direct hirePossible
Start within48 hours
From₹2.2 L/ month

Single contract. No agency markup confusion.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman
Seniority signals
Owns production deploysGreenfield architectSystem ownerCode reviewerMentor / leads juniorsOn-call experience
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

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Rajesh

DevOps Engineer