Available for opportunities

DevdasMahato

Platform Engineer · Cloud DevSecOps · 10 Years

I reduced deployment time from 2 hours to 12 minutes. Automated 50+ production deployments. Maintained 99.9% uptime. Cut costs by 35%.

See My Impact Let's Connect

"Reduced deployment time from 2 hours to 12 minutes. Automated 50+ production deployments. Built monitoring that caught 15+ incidents before customers noticed."

— Impact Summary

Years Experience

Deployments Shipped

Faster Deploys

Cost Reduced

Open to Work

Remote-friendly roles

"The best infrastructure is invisible infrastructure"

Every system I build is designed to run silently in the background — automatically healing, automatically scaling, automatically alerting. The goal is zero manual intervention.

From writing the first Terraform module to managing 100+ Kubernetes containers in production, my journey has been about eliminating toil and building platforms that teams trust.

The terminal you see is my daily environment — infrastructure as code, deployed automatically, monitored continuously.

Years Experience

Platform Engineering & Cloud DevSecOps

Deployments Shipped

Across production environments

Faster Deploys

From 2hrs → 12min average

Cost Reduction

Infrastructure optimization

Case Studies

Real Problems Solved at Scale

Not just tools — problems I solved, impact delivered, numbers that prove it.

Case Study #1

CI/CD Pipeline Transformation

Reduced deployment from 2 hours to 12 minutes across 15+ microservices

Problem

Deployments took 2+ hours. Manual steps, no rollback, inconsistent environments. Team spent 15+ hours/week on deployments.

Solution

End-to-end CI/CD with GitHub Actions — automated testing, security scanning, container builds, staged rollouts to AKS. Blue-green with automated rollback.

Result

Deploy: 12 minutes. Zero-downtime. Team reclaimed 40+ hrs/month. Success rate: 98.4%.

2 hours→ 12 min15 hrs/wk→ 2 hrs/wk98.4% success40+ hrs/mo saved

GitHub ActionsAzure DevSecOpsAKSDockerHelm

Case Study #2

Infrastructure as Code — Full Cloud Provisioning

From 3-day manual provisioning to 15-minute automated deployment

Problem

New environments took 3-5 days of manual Azure clicks. Config drift caused 40% of incidents. No DR automation.

Solution

Modular Terraform with 10+ reusable modules. Remote state with locking, workspace separation, Ansible post-provisioning.

Result

3 days → 15 minutes. Zero config drift. DR in 20 minutes. Cost reduced 35%.

3-5 days→ 15 min40% incidents→ 0%35% cost saved

TerraformAzureAnsibleRemote State

Case Study #3

Observability Stack — From Blind to Full Visibility

Reduced incident detection from 45 minutes to under 3 minutes

Problem

No monitoring. Outages from customer complaints. Detection: 45 min. MTTR: 2+ hours.

Solution

Prometheus + Grafana with 50+ alerts, custom dashboards, tracing across 20+ services.

Result

Detection: 45 min → 3 min. MTTR: 2+ hrs → 20 min. Uptime: 99.5% → 99.9%.

45 min detect→ 3 min2+ hr MTTR→ 20 min99.9% uptime

PrometheusGrafanaAlertManager

Transformation

Before I Arrived vs After I Built

❌ Before

Manual deployments via SSH
2-3 hour deployment windows
No automated testing
Configuration drift
45-min incident detection
No IaC, no versioning
Manual disaster rebuild (days)
3-5 day provisioning

→

✅ After

Fully automated CI/CD
12-minute zero-downtime deploys
Automated testing + scanning
100% IaC — zero drift
3-min detection + alerting
Version-controlled Terraform
DR environment in 20 min
New environments in 15 min

Skill Proficiency

Technical Depth

Years of hands-on production experience with each technology.

Terraform / IaC

95%

Kubernetes / AKS

90%

CI/CD Pipelines

95%

Azure Cloud

92%

Prometheus / Grafana

88%

Docker / Containers

93%

Ansible

85%

Python / Bash

82%

System Architecture

What I Designed & Manage

Production Platform Architecture

Source

Git · PR Review

→

CI/CD

GitHub Actions

→

Registry

Docker · ACR

→

AKS

100+ Pods

→

Monitor

Prometheus

IaC

Terraform

→

Azure

50+ VMs

→

Ansible

Config Mgmt

→

Security

DevSecOps

→

Grafana

50+ Alerts

Career Impact

What I Delivered In Each Role

Not just titles — the specific impact and scale of work.

2024 — Present

Senior Platform Engineer

Managing 100+ containers on Kubernetes. CI/CD for 40+ developers. Terraform modules adopted org-wide.

40+ teams100+ containersKubernetesTerraform

2021 — 2024

DevSecOps Engineer

Built monitoring from zero — 20+ services. IaC with 10+ Terraform modules. Automated from weekly to daily.

20+ servicesPrometheusGrafana

2018 — 2021

Cloud Infrastructure Engineer

Managed 50+ VMs on Azure. Provisioning from days to hours. Networking and security architecture.

50+ VMsAzureNetworking

2015 — 2018

Systems / Linux Administrator

100+ Linux servers, 99.9% uptime. Automated 60% of admin with Bash/Python.

100+ serversLinuxPython

Containers Managed

Pipelines Automated

VMs Provisioned

Dev Teams Supported

Technology Matrix

Tools I Use to Deliver Results

☁️ Cloud

Azure (50+ VMs)Virtual NetworksIAM / RBAC

🏗️ IaC

Terraform (10+ modules)AnsibleRemote State

🔄 CI/CD

GitHub Actions (15+)Azure DevSecOpsHelm

☸️ Containers

Kubernetes (100+ pods)DockerHPA

📊 Observability

Prometheus (50+ alerts)GrafanaAlertManager

💻 Scripting

PythonBashLinux

Automation Flow

CI/CD Pipeline I Built

The pipeline that cut deployments from 2 hours to 12 minutes.

📝

Git PushPR + Review

🔍

Lint & TestAutomated

🛡️

Security ScanDevSecOps

📦

Build & PushDocker → ACR

🚀

Deploy StageAKS

✅

Health CheckAuto-Validate

🎯

Deploy ProdBlue-Green

DORA Metrics

Delivery Performance

Deployment Frequency

—

Per Week

Lead Time

—

Hours

Change Failure Rate

—

Percentage

MTTR

—

Minutes

Deployment Frequency

Pipeline Success Rate

98.4%

Engineering Portfolio

Projects with Measurable Impact

CI/CD Pipeline Automation

90% faster 40 hrs/mo saved

End-to-end CI/CD with GitHub Actions and Azure DevSecOps. Automated build, test, security, deployment for 15+ services.

GitHub ActionsAzure DevSecOpsAKS

View on GitHub →

Kubernetes Production Platform

100+ containers Zero downtime

Production AKS clusters serving 100+ containers. HPA, ingress, blue-green deployments.

KubernetesDockerHelm

View on GitHub →

Infrastructure as Code Framework

3 days → 15 min 35% saved

Modular Terraform with 10+ reusable modules. Zero config drift. DR in 20 min.

TerraformAzureAnsible

View on GitHub →

Observability Stack

45 min → 3 min 99.9% uptime

Prometheus + Grafana covering 20+ services with 50+ alerts. Detection from 45 min to 3 min.

PrometheusGrafana

View on GitHub →

Code Showcase

Infrastructure Code I Write

main.tf — Production AKS

Terraform

# Production AKS — 100+ containers resource "azurerm_kubernetes_cluster" "prod" { name = "aks-prod-westus2" location = azurerm_resource_group.prod.location default_node_pool { name = "system" node_count = 5 enable_auto_scaling = true min_count = 3 max_count = 12 } tags = { managed_by = "terraform" } }

deploy.yml — CI/CD

GitHub Actions

name: Production Deploy (12 min) on: push: branches: [main] jobs: deploy: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - run: make test - run: | docker build -t app:${{ github.sha }} . helm upgrade --install app ./chart

Principles

How I Think About Engineering

📏

Measure Everything

Every system has metrics, alerts, dashboards. Numbers drive decisions.

🤖

Automate the Pain

If it takes 5+ minutes manually, it gets automated. If it fails, it gets a rollback.

🎯

Design for Failure

Production will break. The question: how fast can we recover?

📊

Show the Numbers

Impact without metrics is opinion. I track frequency, lead time, MTTR.

Feedback

What Colleagues Say

Devdas cut deployment from hours to minutes. The CI/CD he built handles 15 services autonomously. Best investment we made.

Engineering Manager

Platform Lead

The Terraform framework eliminated config drift entirely. 3-day provisioning to 15 minutes. Game changer.

Staff Platform Engineer

DevSecOps Guild

His monitoring caught 15+ incidents before customers noticed. Detection from 45 min to under 3. Transformed.

CTO

FinTech Startup

Get In Touch

Let's Build Something That Works

Looking for a Platform Engineering role with production-proven impact.

Open to Cloud DevSecOps & Platform Engineering roles

Email LinkedIn GitHub

📍 Remote-friendly opportunities worldwide

DevdasMahato

Senior Platform Engineer

DevSecOps Engineer

Cloud Infrastructure Engineer

Systems / Linux Administrator

☁️ Cloud

🏗️ IaC

🔄 CI/CD

☸️ Containers

📊 Observability

💻 Scripting

CI/CD Pipeline Automation

Kubernetes Production Platform

Infrastructure as Code Framework

Observability Stack

Measure Everything

Automate the Pain

Design for Failure

Show the Numbers

CloudBrain Interface