Paramjeet · Senior Multi-Cloud DevOps Engineer · 5+ yrs
Mid-LevelAbout Paramjeet
Parmjeet has extensive experience in DevOps practices, focusing on cloud infrastructure, CI/CD pipeline implementation, and application monitoring. He has successfully designed and deployed Kubernetes clusters across multiple cloud platforms, ensuring high availability and scalability. His expertise in Infrastructure as Code (IaC) using Terraform and automation tools like Jenkins and Ansible allows him to optimize deployment processes and enhance application performance.
Core expertise
Additional skills(17)
Linux
Ansible
GitWhy hire Paramjeet?
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.
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.
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.
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.
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.
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.
5+ years of industry experience
At a Glance
Single contract. Billed in USD.
Typically responds within 4 business hours.
Top Skills
Vetted by WitaristNot sure if this is the right fit?
Tell us your requirements and we'll match you with the best candidates.
Paramjeet
DevOps Engineer