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Hello, I'm

Aman Patel

Sr. Cloud & DevOps Engineer

Specializing in AI-powered infrastructure, Model Context Protocol (MCP), and cloud-native automation.

Building secure, scalable cloud-native platforms through automation, DevSecOps, and Platform Engineering.

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Projects Delivered

DevOps workstation setup
Critical Outage - System Offline
Prod Deployment Successful

About Me

I'm a Senior Cloud DevOps Engineer with deep expertise in designing, building, and automating cloud infrastructure at scale. My focus is on the intersection of AI, DevOps, and the Model Context Protocol (MCP) — enabling intelligent systems to interact with cloud resources seamlessly.

I architect CI/CD pipelines, manage Kubernetes clusters, implement Infrastructure as Code, and integrate AI-driven tooling into engineering workflows. With MCP, I build context-aware AI agents that can provision, monitor, and optimize infrastructure autonomously.

My mission is to make cloud operations smarter, faster, and more resilient through the power of AI and modern protocol standards.

Cloud DevOps

Multi-cloud architecture, IaC (Terraform, Pulumi), GitOps, and production-grade Kubernetes orchestration.

AI Integration

Building AI-powered DevOps workflows — from intelligent monitoring to automated incident response and self-healing systems.

Model Context Protocol

Designing MCP servers and tools that give AI agents safe, structured access to cloud infrastructure and DevOps operations.

Skills & Technologies

A comprehensive toolkit spanning cloud infrastructure, DevOps automation, AI integration, and the Model Context Protocol.

AWS
Azure
GCP
Docker
Kubernetes
Terraform
GitHub Actions
ArgoCD
Prometheus
Grafana
Python
Go
AWS
Azure
GCP
Docker
Kubernetes
Terraform
GitHub Actions
ArgoCD
Prometheus
Grafana
Python
Go
DigitalOcean
Helm
Pulumi
Ansible
GitLab CI
Jenkins
Datadog
ELK Stack
TypeScript
Bash
Linux
Vault
DigitalOcean
Helm
Pulumi
Ansible
GitLab CI
Jenkins
Datadog
ELK Stack
TypeScript
Bash
Linux
Vault

Experience

Sr. Cloud & DevOps Engineer

Jun 2025 – Present · 1 yr 2 mos

CloudTechner · Full-time

Hybrid

Leading cloud infrastructure and DevOps initiatives with a focus on AI-powered automation, MCP server development, and scalable multi-cloud architecture.

  • Designing MCP-based tooling for AI agents to provision and manage cloud infrastructure
  • Implementing AI-assisted CI/CD pipeline optimization reducing deployment time by 60%
  • Building self-healing Kubernetes clusters with AI-driven anomaly detection

Software Engineer L2 | DevOps Engineer

Feb 2024 – Jun 2025 · 1 yr 5 mos

Quokka Labs · Full-time

Noida, Uttar Pradesh, India · Hybrid

Drove DevOps transformation and cloud-native migration across multiple product teams. Established CI/CD standards and Infrastructure as Code practices.

  • CI/CD, Cloud Computing, and 38+ skills across the DevOps ecosystem
  • Migrated legacy infrastructure to Kubernetes with 99.99% uptime
  • Implemented Terraform-based IaC covering 100% of cloud resources

Network Support Specialist | SRE

Dec 2021 – Feb 2024 · 2 yrs 3 mos

OpsTree Solutions · Full-time

Noida, Uttar Pradesh, India · Remote

Managed site reliability for distributed systems, automated cloud operations, and built comprehensive monitoring and observability solutions.

  • CI/CD, ArgoCD, and 8+ skills in platform reliability engineering
  • Built observability stack with Prometheus, Grafana, and automated alerting
  • Automated security scanning and compliance checks in CI pipelines

Team Leader - Technical - Infrastructure - Delivery & Support

Sep 2021 – Dec 2021 · 4 mos

Hitachi · Full-time

Led technical infrastructure delivery and support team, overseeing production environments and ensuring service reliability for enterprise clients.

  • Managed infrastructure delivery for enterprise-grade systems
  • Coordinated cross-team technical support and incident management

DevOps Admin

Mar 2020 – Sep 2021 · 1 yr 7 mos

IP Solutions Technologies · Internship

Remote

Gained foundational DevOps experience in containerization, automation scripting, and cloud platform administration.

  • Containerized applications and deployed to cloud environments
  • Automated routine operations with Bash and Python scripting

Featured Projects

Building at the intersection of DevOps, AI, and MCP — creating intelligent systems that manage themselves.

MCP Infrastructure Server

An MCP server that gives AI agents structured access to AWS infrastructure — spinning up EC2 instances, managing S3 buckets, querying CloudWatch metrics, and triggering deployments through natural language.

MCPTypeScriptAWS SDKAI Agents

AI-Powered Incident Response

Intelligent incident detection and response system that uses LLMs to analyze alerts, correlate issues across services, and execute automated runbooks with human-in-the-loop approval.

PythonLangChainKubernetesPagerDuty

GitOps Platform Engine

A self-service platform enabling developers to deploy microservices with a single PR. ArgoCD-based GitOps with automatic environment provisioning and progressive delivery.

ArgoCDTerraformHelmGitHub Actions

Cloud Cost Optimizer

AI agent that continuously analyzes cloud spending, identifies waste, and recommends or auto-applies optimizations — saving 40% on monthly cloud bills.

PythonAWS Cost ExplorerMCPGrafana

Kubernetes Auto-Scaler AI

Predictive autoscaling for Kubernetes workloads using ML models trained on historical traffic patterns. Scales proactively rather than reactively.

GoKubernetesPrometheusTensorFlow

DevOps Knowledge MCP Server

MCP server providing AI agents with organizational DevOps context — runbooks, architecture docs, deployment procedures — enabling context-aware assistance.

MCPRAGVector DBTypeScript

Blogs

Thoughts on Cloud DevOps, AI, MCP, and building intelligent infrastructure.

Production 3-Node HashiCorp Vault Cluster on AWS Ubuntu

Production 3-Node HashiCorp Vault Cluster on AWS Ubuntu

Deploy a highly available Vault cluster with Raft storage, KMS auto-unseal, TLS, and automatic leader election across 3 AZs.

·25 min read·
HashiCorp VaultAWSHA Cluster+2Read more →

Python + Vault + RDS

Dynamic Secrets for MySQL

PythonFastAPI
hvac SDK
VaultSecrets Engine
Create User
AWS RDSMySQL

Setup HashiCorp Vault on Ubuntu & Use It for AWS RDS MySQL with Python

Install Vault, configure dynamic credentials for AWS RDS MySQL, and integrate into a Python FastAPI backend — no more static passwords.

·20 min read·
HashiCorp VaultAWS RDSMySQL+2Read more →

Grafana → PagerDuty Alert Flow

Website Down Detection & Notification

WebsiteProbe
Scrape
PrometheusMetrics
Query
GrafanaAlert Rule
Alert
PagerDutyIncident
Call
On-CallPhone/SMS

Setup Grafana Alerts to PagerDuty for Website Down Monitoring

Configure Grafana alerting with PagerDuty integration to get notified instantly when your website goes down.

·10 min read·
GrafanaPagerDutyMonitoring+1Read more →
Using AWS Q CLI with EKS MCP for Production Troubleshooting

Using AWS Q CLI with EKS MCP for Production Troubleshooting

Connect Amazon Q to EKS clusters via MCP and troubleshoot production Kubernetes issues using natural language.

·15 min read·
AWS QEKSMCP+1Read more →

Nexus Repository

Artifact Management

CI/CDPipeline
Push/Pull
NexusRepository
Proxy
Docker HubUpstream

How to Setup Nexus Repository on Ubuntu

Install and configure Sonatype Nexus Repository Manager — Docker registry, npm proxy, Maven hosting.

·12 min read·
NexusRegistryDocker+1Read more →
How to Setup Pritunl VPN on Ubuntu

How to Setup Pritunl VPN on Ubuntu

Deploy a self-hosted VPN server using Pritunl — MongoDB setup, user management, and encrypted connections.

·10 min read·
VPNPritunlUbuntu+1Read more →

AWS Q + Diagram MCP

Architecture Generation

UserPrompt
Prompt
AWS QCLI
MCP
DiagramMCP Server
Render
OutputPNG/SVG

Create AWS Architecture Diagrams with Amazon Q + MCP

Generate professional AWS architecture diagrams through natural language using Q Developer and MCP.

·8 min read·
AWS QMCPArchitecture+1Read more →

Let's Connect

Interested in AI-powered DevOps, MCP integrations, or cloud architecture? I'd love to hear from you.

Open to Opportunities

Currently exploring roles in AI-augmented platform engineering, MCP ecosystem development, and cloud-native consulting. Let's build the future of intelligent infrastructure together.