Abhishek Chaman — DevOps Engineer

Abhishek Chaman
DevOps Engineer.

CLOUD & DEVOPS ENGINEER · AWS · KUBERNETES · CI/CD

DevOps Engineer specializing in AWS cloud infrastructure, Docker containerization, Kubernetes orchestration, and declarative CI/CD pipelines. Focused on zero-downtime releases and automated infrastructure as code.

open to Cloud & DevOps opportunities

commit

build

test

deploy

live

Infrastructure as Code & Cloud Reliability

Eliminating deployment bottlenecks, automating configurations, and maintaining scalable high-availability systems.

I am a DevOps Engineer based in Indore with a strong track record of orchestrating workloads on AWS, Docker, and Kubernetes. My focus is on eliminating manual operations by designing bulletproof CI/CD pipelines in Jenkins and provisioning secure, version-controlled cloud environments with Terraform.

From configuring Kubernetes Horizontal Pod Autoscalers (HPA) to implementing safe state-locked remote S3 backends in Terraform, I prioritize zero-downtime rollouts and actionable monitoring across Prometheus, Grafana, and Datadog.

Deployment Effort Reduced

AWS

EC2 · EKS · S3 · ALB · IAM

IaC

Terraform + Remote State

Downtime Rolling Updates

Work History

Hands-on delivery and production infrastructure operations.

DevOps Engineer Intern

Hisan Lab Private Limited

Indore, India

Designed and implemented a Jenkins-based CI/CD pipeline that reduced manual deployment effort by 60% through automated build, test, and deploy stages.
Configured GitHub webhooks to trigger automated build and deployment workflows on every code commit, establishing rapid feedback loops for development teams.
Collaborated with teams to integrate SonarQube for static code analysis into the CI pipeline, improving code quality across microservices.
Built and pushed Docker images to Docker Hub with dynamic tagging conventions; configured Kubernetes Horizontal Pod Autoscaler (HPA) and rolling updates for zero-downtime releases.
Managed Terraform state remotely using AWS S3 backends with state locking via DynamoDB, preventing race conditions during concurrent infrastructure runs.
Monitored application health and cluster performance metrics via Prometheus and Grafana dashboards.

Tools & Technologies

The toolchain I use to provision, containerize, orchestrate, and observe distributed systems.

Cloud & Infrastructure

AWS (EC2, S3, IAM, VPC) ALB & Auto Scaling AWS EKS Lambda & Route 53 GCP Linux (Ubuntu)

Container & Orchestration

Kubernetes (K8s) Docker Docker Compose Helm Docker Hub kubectl

CI/CD & Automation

Jenkins Terraform (IaC) Git & GitHub GitLab SonarQube Maven Shell / Bash Python

Monitoring & Data

Prometheus Grafana Datadog AWS CloudWatch MySQL MongoDB

04 · Featured Work

CI/CD & Infrastructure Projects

Production pipelines, Kubernetes deployments, and AI-powered operational tools.

FastAPI · Gemini Live · Docker

Real-Time AI & Diagnostics

VoiceOps Assistant

Engineered a real-time AI voice assistant for DevOps troubleshooting and hands-free safe local diagnostics using the Gemini Live API.
Implemented bidirectional low-latency audio streaming (16 kHz PCM) over WebSockets between the browser client and a containerized FastAPI backend.
Designed secure, non-destructive read-only diagnostic tools for inspecting system CPU, memory, disk usage, active TCP ports, HTTP endpoints, and Docker containers via Docker socket integration.

FastAPI Python Docker Compose Gemini Live API WebSockets Linux Diagnostics

K8s · Jenkins · Docker

Cloud Native Orchestration

Automated CI/CD & Kubernetes Deployment of Task Tracker

Built a scripted Jenkins CI/CD pipeline automating Maven compilation, Docker containerization, and automated registry push to Docker Hub.
Managed automated image tagging utilizing dynamic build numbers to ensure reproducible artifact versioning across tiers.
Automated application rollouts to dedicated Kubernetes namespaces using kubectl, configuring rolling update strategies and automated health checks via rollout status.

Kubernetes Jenkins Docker Maven Docker Hub Bash

AWS EC2 · Nginx · Jenkins

Automated Deployment

Automated CI/CD Deployment of Full-Stack To-Do Application

Built a Jenkins pipeline integrated directly with GitHub webhooks to automate Maven packaging and continuous deployment stages.
Configured an AWS EC2 (Ubuntu) server environment, managing custom security groups, Java runtimes, and Jenkins operational permissions.
Set up Nginx as a reverse proxy to serve compiled frontend assets and route incoming API traffic securely to the Spring Boot backend.

AWS EC2 Jenkins Spring Boot Nginx GitHub Webhooks Ubuntu

Academic Background

Computer Applications foundations from DAVV, Indore.

2024 — 2026

Master of Computer Applications (MCA)

Devi Ahilya Vishwavidyalaya (DAVV), Indore, MP

2021 — 2024

Bachelor of Computer Applications (BCA)