Senior DevOps & Cloud Engineer with 10+ years of hands-on experience designing, automating, and operating resilient cloud infrastructure on AWS, GCP, and hybrid environments. Passionate about turning complex systems into elegant, self-healing pipelines.
I'm Naveed Ahmed — a DevOps Engineer, Entrepreneur, and lifelong learner based in Pakistan. I completed my BSc in Computer Science from the University of Sindh and have spent the past decade building, migrating, and operating cloud-native infrastructure at scale.
My work spans the full infrastructure lifecycle: from architecting multi-region AWS environments and implementing zero-downtime CI/CD pipelines, to hardening security postures and mentoring junior engineers.
Beyond the terminal, I'm a teacher and social activist — I believe in sharing knowledge and using technology to create opportunities for communities around me.
Architected and engineered a living genealogical archive documenting 1,083 connected records across 45 generations. Delivered zero-downtime AWS EC2 deployment, MariaDB relational data tier, interactive pan/zoom lineage canvas, 3,253-URL XML sitemap, and Schema.org structured data.
Designed and implemented a fault-tolerant, multi-AZ AWS architecture with Auto Scaling groups, Application Load Balancers, and RDS Multi-AZ for zero-downtime operations.
Led end-to-end migration of a complex web application and its production database from Rackspace to AWS using AWS DMS, Route 53 weighted routing, and blue-green deployments.
Built a comprehensive Ansible playbook library for provisioning and configuring web servers, databases, and monitoring agents across hundreds of nodes with idempotent, version-controlled automation.
Moved a high-traffic SEO tools platform from dedicated servers to a fully elastic AWS architecture with Auto Scaling and ELB, cutting infrastructure costs while improving availability.
Architected the complete AWS cloud infrastructure for eQuiz from scratch, including VPC design, IAM policies, secure data storage, and a scalable compute layer.
Developed an automated trading bot in MQL5 for MT5 platform, implementing 15-minute timeframe strategy execution and risk management logic.
Whether you have a role to discuss, a complex infrastructure challenge, or just want to say hello — my inbox is always open. I'll get back to you within 24 hours.
Combining my DevOps background with the latest AI tooling to build autonomous agents that can plan, execute, and self-correct infrastructure tasks. Exploring how LLMs + tool use can replace entire runbooks — from incident response to deployment pipelines.
Building agents that autonomously handle on-call alerts, run root-cause analysis, apply fixes, and verify resolution — all without human intervention.
Implementing MCP servers to give AI agents real-time access to AWS, Kubernetes, GitHub, and internal tools — turning LLMs into true infrastructure operators.
Replacing manual runbooks with fully automated, event-driven workflows. If a human is doing it more than twice, it gets automated.
Pipelines where an AI agent decides the deployment strategy, monitors rollout health, and auto-rolls back — no static pipeline YAML required.
Using AI to correlate metrics, logs, and traces — auto-generating incident summaries and suggesting remediation steps directly in Slack.
Natural language → production-ready Terraform. Describe an architecture in plain English, get reviewed and applied IaC with full audit trail.
Over the past year I've been deep-diving into technical analysis — learning to read candlestick patterns, support & resistance, timeframe alignment, and market structure. The 15-minute chart has become my main battleground. But being a DevOps engineer, I couldn't just stop at manual analysis — I had to automate it.
All HTML, CSS, JS and assets stored as static files in a single S3 bucket. Zero servers, zero patching, infinite scale.
Single distribution serving 6 domains from 400+ edge locations worldwide. Sub-10ms latency for most visitors. HTTPS enforced everywhere.
Authoritative DNS for naveedkumbhar.com. Alias records point all 6 domains directly to CloudFront with zero TTL overhead.
Lightweight JavaScript function running at the edge. Routes each subdomain to its correct S3 path based on the Host header — zero latency overhead.
Deep-dive architectural blueprints, production incident runbooks, and scenario-based interview guides drawn directly from 10+ years operating high-scale cloud infrastructure.
Say goodbye to dictionary definitions. Master 970 real production scenarios across Kubernetes, AWS, Terraform, Docker, and Linux with battle-tested CLI runbooks, 60-second elevator pitches, and active recall practice.
Why AI coding is barely 20% of the software lifecycle, how multi-agent factory floors collaborate (Architect, Coder, Tester, SRE), and how autonomous feedback loops transform development.
Why "You build it, you run it" hit a wall, how 4-layer Internal Developer Platforms (IDPs) eliminate cognitive burnout, and how senior engineers upskill for platform engineering roles.
Decode container termination exit codes (Exit 137 OOMKilled, 143 SIGTERM, 1), inspect node kernel dmesg, and resolve startup probe race conditions with step-by-step CLI commands.
Real failure drills: CoreDNS latency spikes under traffic surges, zero-downtime rolling node upgrades, AWS VPC CNI IP exhaustion, and candidate storytelling models.
Step-by-step visual roadmaps for every major DevOps technology — free to view and download. Whether you're just starting out or mapping your next skill, pick a path and go.
Full interactive resume — experience, skills, certifications and education in one clean page.
Practical guides on Kubernetes, AWS, Terraform, Ansible, CI/CD and cloud-native engineering.
Browser-based DevOps utilities — JSON formatter, YAML validator, JWT decoder, cron parser, Base64 and more.
Project showcase, architecture diagrams, tech radar, and DevOps experiments from production environments.
Interactive 24-module Kubernetes learning tracker with checklists — free for everyone.
Master 950+ scenario-based interview questions across Kubernetes, AWS, Terraform, Docker, CI/CD & SRE with candidate storytelling and diagnostic runbooks.
One-stop page for all social, professional, and content links — LinkedIn, GitHub, certifications and more.
8 curated learning roadmaps — Kubernetes, Docker, Linux, Terraform, AWS, MLOps and more. View or download free.
Courses and learning materials from my own journey — starting with the Linux course I completed as an intern at HIST Jamshoro.
Naveed Ahmed is a Senior DevOps & Cloud Engineer with over 10 years of production experience specializing in Amazon Web Services (AWS), Kubernetes container orchestration, Infrastructure as Code using Terraform and Ansible, automated CI/CD pipelines, Linux systems engineering, Site Reliability Engineering (SRE), and autonomous AI agent automation.
Naveed holds the AWS Certified Solutions Architect – Associate certification and has extensive enterprise experience architecting multi-AZ, fault-tolerant cloud environments and high-availability Kubernetes clusters.
Key projects include Mobivists high-availability AWS architecture, Shajjra.com digital genealogy archive across 45 generations, Smallseotools.com auto-scaling migration, zero-downtime database migrations, and autonomous AI DevOps agent workflows.
Naveed is available for senior DevOps engineering, cloud infrastructure architecture, Kubernetes migrations, and AI automation consulting. You can get in touch via the contact form on naveedkumbhar.com, by email at naveed_kumbhar@hotmail.com, or through LinkedIn at linkedin.com/in/naveedkumbhar.