CLOUD / DEVOPS ENGINEER

Building the
systems
behind software.

I'm Preetam Kambar — a Cloud & DevOps Engineer focused on AWS infrastructure, Kubernetes, containers, CI/CD and reliable software delivery.

↓ Download Resume Explore my work ↓ GitHub ↗ LinkedIn ↗
Preetam Kambar
☁ AWS CLOUD INFRASTRUCTURE
◈ KUBERNETES CONTAINER ORCHESTRATION
⚙ CI / CD AUTOMATED DELIVERY
01 / WHAT I DO

Turning code
into systems.

My focus is the engineering layer between application code and reliable production infrastructure.

☁

Cloud Infrastructure

AWS infrastructure, EC2 deployments, networking fundamentals, IAM and Linux-based cloud environments.

⚙

CI/CD Automation

Automated build, test and deployment workflows using GitLab CI/CD, Jenkins, Docker and Git.

◈

Kubernetes & GitOps

Container orchestration with Kubernetes, deployment management with ArgoCD and configuration through Kustomize.

◉

Monitoring & Reliability

Health monitoring and observability using Prometheus, Grafana and production troubleshooting practices.

02 / PROFILE

Engineer first.
Automation always.

I care about what happens after the code is written — how it gets deployed, secured, monitored and recovered.

I'm Preetam Kambar, a Cloud & DevOps Engineer focused on infrastructure automation and reliable software delivery.

I've worked hands-on with AWS EC2, Docker, Kubernetes, GitLab CI/CD, Jenkins, Linux and Nginx to build and deploy containerized applications.

I enjoy solving the problems between development and production — debugging deployments, understanding infrastructure failures and turning manual processes into repeatable systems.

preetam@cloud:~$ whoami
name: "Preetam Kambar"
role: "Cloud / DevOps Engineer"
focus: ["AWS","Kubernetes","CI/CD"]
education: "B.E. Computer Science"
location: "Belagavi, India"
status: "open_to_work"
03 / TOOLBOX

The stack
behind the work.

A practical engineering stack spanning cloud infrastructure, containers, automation, observability and application development.

01

Cloud

AWS EC2
S3 · IAM · VPC
Azure / GCP fundamentals

02

Containers

Docker
Kubernetes
ArgoCD · Kustomize

03

CI / CD

GitLab CI/CD
Jenkins
Git · GitHub

04

Infrastructure

Terraform
Linux · Shell
Nginx

05

Observability

Prometheus
Grafana
Health monitoring

06

Programming

Java · Python
C · SQL
JavaScript

07

Web

HTML · CSS
Node.js
Express.js

08

Engineering

Git branching
Merge requests
Code reviews

04 / SELECTED WORK

Build.
Deploy.
Debug.

Projects showing practical experience with cloud deployment, automation, containers, Kubernetes and application security.

PROJECT / 01 · CI/CD

Automated Web App Deployment Pipeline

Built a production-style deployment pipeline for a Vite web application, containerized with Docker and deployed on AWS EC2 behind Nginx.

AWS EC2 DOCKER GITLAB CI/CD NGINX
Engineering outcome Automated the build, containerization and deployment workflow to make releases more repeatable.
VIEW GITHUB ↗
GIT PUSH SOURCE
→
GITLAB CI PIPELINE
↓
DOCKER BUILD IMAGE
→
AWS EC2 DEPLOY
↓
NGINX REVERSE PROXY
→
HTTPS APPLICATION
PROJECT / 02 · GITOPS

Kubernetes GitOps Pipeline

Built a Kubernetes GitOps workflow with ArgoCD and Kustomize, with Prometheus and Grafana used for application monitoring.

KUBERNETES ARGOCD KUSTOMIZE PROMETHEUS GRAFANA
Engineering outcome Worked through deployment configuration, ingress and health-probe problems and used Git-based rollback to recover changes.
VIEW GITHUB ↗
KUBERNETES / GITOPS CLUSTER
POD / APP
POD / APP
POD / APP
SERVICE
INGRESS
ARGOCD
PROMETHEUS
METRICS
GRAFANA
DASHBOARD
PROJECT / 03 · FULL STACK

File Vault

A password-protected file storage and sharing application with subject-section organization and a custom domain.

NODE.JS EXPRESS BACKBLAZE B2 RENDER
Engineering outcome Added application security through Helmet and rate limiting while providing protected file storage.
VIEW GITHUB ↗
USER AUTHENTICATION
→
EXPRESS API
↓
HELMET SECURITY
→
RATE LIMIT PROTECTION
↓
BACKBLAZE B2 FILE STORAGE
05 / HOW I THINK

From commit
to production.

A simplified view of the deployment workflow I enjoy working on — connecting source code, automation, infrastructure and the application.

CLOUD / DEVOPS DELIVERY FLOW
GITHUB SOURCE CODE
VERSION CONTROL
→
CI/CD BUILD
TEST · AUTOMATE
→
DOCKER CONTAINER
IMAGE
→
AWS COMPUTE
INFRASTRUCTURE
→
NGINX REVERSE PROXY
HTTPS
MONITORING
LOGGING
HEALTH CHECKS
ROLLBACK
06 / CURRENTLY EXPLORING

Always
learning.

Cloud and DevOps move quickly. I'm continuing to deepen the infrastructure side of my engineering skill set.

INFRASTRUCTURE AS CODE

Terraform

Exploring repeatable infrastructure provisioning and infrastructure automation.

CLOUD ARCHITECTURE

AWS

Deepening knowledge of cloud architecture, networking and production infrastructure.

CONTAINER OPERATIONS

Kubernetes

Continuing to strengthen cluster, deployment and production operations knowledge.

OBSERVABILITY

Monitoring

Exploring stronger metrics, dashboards, application health and operational visibility.

07 / EXPERIENCE

Where the
theory got real.

Hands-on engineering experience across AWS deployment, CI/CD automation and Kubernetes.

JAN — MAY 2026

Cloud DevOps Intern

SOFTMUSK INFO PVT. LTD.
  • Deployed and managed containerized applications on AWS EC2.
  • Configured Nginx reverse proxy and HTTPS for public deployments.
  • Built GitLab CI/CD and Jenkins pipelines covering code push → build → test → deploy.
  • Automated server provisioning using Linux shell scripts.
  • Managed Kubernetes Deployments and Services, including scaling and health monitoring.
  • Worked with Git branching, merge requests, peer reviews and agile sprints.
JUN — AUG 2026

AWS Intern

INTERNSHIP STUDIO
  • Completed hands-on AWS training covering core cloud services and infrastructure fundamentals.
08 / CREDENTIALS

Foundation +
continuous learning.

EDUCATION

B.E. Computer Science & Engineering

S.G. Balekundri Institute of Technology · 2022–2026 · CGPA 7.68

MAY 2026 · AWS

AWS Cloud Practitioner Essentials

AWS Training & Certification

MAY 2026 · DEVOPS

AI — DevOps Engineer Foundation Course

Reliance Foundation Skilling Academy

AWS INTERNSHIP

Certificate of Training & Internship

Internship Studio

GENERATIVE AI

Career Essentials in Generative AI

Microsoft & LinkedIn

OPEN TO OPPORTUNITIES

Looking for a Cloud
/ DevOps engineer?

I'm interested in opportunities where I can work with cloud infrastructure, automation, containers and reliable software delivery. If you're building systems where reliability and automation matter, let's talk.

↓ Download Resume Connect on LinkedIn ↗ Explore GitHub ↗
10 / CONTACT

Let's build
something
reliable.

I'm open to opportunities in Cloud Engineering, DevOps and SRE. If you're building systems where reliability and automation matter, let's connect.

↓ Download Resume Email me ↗ GitHub ↗ LinkedIn ↗
pritamkambar4@gmail.com

github.com/Preet0m ↗

linkedin.com/in/preetam-b-kambar ↗

Belagavi, India