Murad Khateeb

Background

About Murad Khateeb

My journey into tech began with a curious switch from Electrical Engineering to Computer Science, a decision driven by passion and curiosity about how machines work and respond to human logic. That switch became the foundation of my professional identity: someone who thrives at the intersection of software, infrastructure, and intelligent automation. I started my career as a Software Developer, working with C#.NET, Angular, and SQL to build scalable, secure, and responsive cloud applications. Over time, my responsibilities grew, and I found myself drawn towards cloud infrastructure, DevOps, and building end-to-end software delivery systems that power global applications. This transition was natural and deliberate — from writing code to ensuring it’s delivered, deployed, and maintained efficiently across regions and platforms. For the past 5+ years, I have worked as a DevOps Engineer, managing and automating cloud-native, multi-region applications across Azure, AWS, and Kubernetes clusters. Here are a few of my key contributions: Managed CI/CD for 30+ applications simultaneously using Azure DevOps, GitHub Actions & Jenkins Achieved 100% deployment success rate by reducing downtime via optimized pipelines, parallel testing, and rollback strategies Reduced deployment time by 40% through geo-redundant, multi-stage deployments on Kubernetes, Service Fabric & VMs Cut infrastructure costs by ~70%(from $22K/month to $7K) by decommissioning underutilized resources, implementing auto-scaling, and leveraging Microsoft Gold partnerships Deployed and maintained 10+ microservices across three availability zones, used in 80+ client centers Reduced a large production SQL database from 3.2TB to 1.2TB, archiving 300M+ records and significantly improving performance Automated certificate rollover, secrets rotation (Azure Key Vault & AWS Cert Manager), and cloud resource provisioning with Terraform & ARM templates Maintained 100% uptime for 15 clients over 3 months through proactive SRE practices and monitoring via Prometheus, Grafana, and Azure Monitor Slashed P1 issue resolution time to under 1 hour in 90% of cases by creating SOPs, alerts, and auto-healing mechanisms I'm constantly upskilling — currently diving deeper into AI and cloud-native DevSecOps practices. My goal is to be part of a team where innovation meets impact, whether on-site, hybrid, or remote. Whether you're a hiring manager, fellow engineer, or someone who just loves talking tech, cricket, or history, feel free to connect!