Paramjeet  ·  Senior Multi-Cloud DevOps Engineer  ·  5+ yrs

Mid-Level
5+ years experienceremote
Available within 48 hrs

About Paramjeet

Parmjeet is a DevOps Engineer with 5+ years of experience in implementing CI/CD pipelines, infrastructure automation, and container orchestration. He has a strong background in cloud platforms like AWS, Azure, and GCP, and is skilled in technologies such as Kubernetes and Terraform.

5+ years of commercial experience in

SaaS / B2B

Skills(18)

AWSAzureGCPKubernetesTerraformDockerJenkinsPythonNode.jsLinuxAnsibleGitAzure DevOps PipelinesHelmPrometheusGrafanaGitHubBash

Why hire Paramjeet?

Production deploy authorityExperience with CI/CD pipelinesStrong cloud platform expertise

Implemented CI/CD pipelines using Jenkins and Azure DevOps, significantly improving deployment speed.

Designed highly available Kubernetes clusters on AWS, Azure, and GCP for robust application orchestration.

Established comprehensive monitoring stacks with Prometheus and Grafana for proactive performance management.

Successfully implemented CI/CD pipelines using Jenkins and Azure DevOps for Node.js applications, significantly improving deployment speed and reliability.

Designed and deployed highly available Kubernetes clusters on AWS, Azure, and GCP, supporting robust application orchestration.

Project highlights(5)

Node Application Infrastructure Setup – DevOps Engineer

Overview: Focused on setting up core infrastructure on Azure for a Node.js application. Responsibilities: Provisioned Azure infrastructure for a Node.js application using Terraform. Created Terraform configurations to deploy Azure resources including VMs, NICs, VNETs, subnets, and NSGs. Configured Azure VMs for Node.js application installation and dependencies using Ansible. Integrated Terraform with Azure DevOps release pipelines for CI/CD.

TerraformAzureLinuxAnsibleGitAzure DevOps PipelinesNode.js

Key outcomes:

  • Ensured modularity and reusability in Terraform modules and code organization.

  • Documented architecture, deployment steps, and operating procedures.

Deployment of Node Application on Kubernetes – DevOps Engineer

Overview: Centered on deploying a Node.js application on a Kubernetes cluster for portability and scalability. Responsibilities: Containerized the Node.js application using Docker for portability. Created CI/CD pipelines in Jenkins for building Docker images. Deployed the application on a Kubernetes cluster running on AWS EC2 using Helm. Configured autoscaling of pods using horizontal pod autoscaler and set up load balancer services.

DockerJenkinsKubernetesAWSHelmGitNode.js

Key outcomes:

  • Implemented zero downtime rolling updates using Helm.

  • Configured autoscaling of pods for optimized resource utilization.

Monitoring Stack Implementation – DevOps Engineer

Overview: Focused on establishing a robust monitoring solution for a Node.js application using open-source tools. Responsibilities: Integrated Prometheus for metrics collection from the Node.js application and Kubernetes components. Created Grafana dashboards to visualize application metrics and established monitoring for key performance indicators.

PrometheusGrafanaKubernetesLinuxAWSGitNode.js

Key outcomes:

  • Documented collected metrics, dashboards, and alerts.

  • Worked with developers to identify metric requirements.

Implementing CI/CD Pipelines for Node.js Application – DevOps Engineer

Overview: Developed and implemented CI/CD pipelines to automate the build, test, and deployment processes for a Node.js application. Responsibilities: Implemented CI/CD pipelines for a Node.js application using Jenkins. Integrated Jenkins with GitHub for trigger-based builds on code commits.

JenkinsKubernetesGitHubGitNode.js

Key outcomes:

  • Integrated SonarQube for code quality and test coverage metrics.

  • Monitored pipeline runs using Jenkins Dashboard.

Troubleshooting & Testing for a Node.js Application – DevOps Engineer

  • Focused on ensuring the stability and performance of a Node.js application through extensive troubleshooting and testing.
  • Implemented automated testing and load generation to identify issues early.
  • Performed troubleshooting and sanity testing for a Node.js application.
  • Identified and debugged issues related to performance and configuration.
  • Executed fault injection testing to evaluate failure scenarios and automated testing setup using shell and Python scripts.
  • Created load generation scripts for stress testing and monitored application metrics during testing for anomalies.
BashKubernetesPythonPrometheusGrafanaNode.js

Key outcomes:

  • Documented defects and collaborated with developers for resolution.

  • Ensured thorough testing of production-like environments.

  • Contributed to establishing best practices for sanity testing.

Industry experience

SaaS / B2B

Reported in resume

Ready to work with Paramjeet?

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

At a Glance

Experience5+ years
Work moderemote
Starting from₹1.7 L/mo
Direct hirePossible
Start within48 hours
From₹1.7 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 deploysSystem ownerOn-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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Paramjeet

DevOps Engineer