Masudur R.

About Masudur R.

As a Senior Cloud & DevOps Engineer (AZ-104, AZ-400), I design and automate secure, production-grade infrastructure that powers AI/ML and data-driven platforms on Azure and AWS. My focus: build platforms that are fast, reliable, secure, and cost-efficient — so teams can innovate instead of firefight. Currently, I support conversational AI platforms in healthcare, delivering HIPAA-compliant, multi-tenant environments for LLM workloads. I specialize in Kubernetes, Terraform, CI/CD, and observability, enabling platforms that achieve 99.99% uptime, 40% faster deployments, and 30% lower cloud costs:/ → Designed and operated Azure OpenAI, Databricks, and Arize Phoenix for secure, scalable LLM workloads. & → Migrated from Bicep to Terraform with reusable modules, cutting provisioning time by 50% and improving consistency./ & → Built 50+ pipelines with Helm + GitOps workflows, improving release velocity and reducing deployment risk. & → Delivered HIPAA-compliant, multi-region DR architectures meeting strict healthcare standards. & → Embedded SAST, DAST, container scanning, and policy-as-code into pipelines for proactive vulnerability management. I thrive at the intersection of cloud, DevOps, MLOps, and AI infrastructure — turning complex technical challenges into measurable business impact through automation, observability, and secure design: AZ-104, AZ-400 | In progress: AI-102, AWS Solutions Architect / DevOps Pro If you’re scaling AI workloads, modernizing infrastructure, or driving DevOps transformation — let’s connect.

Experience

1. Senior Cloud Devops Engineer

   Brado

   Mar 2024 — Present · St Louis, MO, US

   Designed and implemented cloud-based AI/ML infrastructure on Azure to support generative AI workloads, ensuring compliance, scalability, and 99.99% uptime. Built and optimized 50+ CI/CD pipelines in Azure DevOps & GitHub Actions, deploying apps to Azure Kubernetes Service with Helm, cutting deployment time by 40%. Reduced build & release time by 75% via multi-stage Docker builds and advanced caching strategies. Migrated 50+ resources from Bicep to Terraform with remote state management in Azure Storage, reducing provisioning time by 60%. Developed event-driven architectures with Azure Function Apps, Event Hubs, and Stream Analytics to enable real-time automation and insights. Embedded DevSecOps practices (SAST, DAST, container scanning) into pipelines, strengthening security and compliance. Reduced cloud spend by 30% with workload right-sizing, autoscaling, and spot instance optimization. Improved observability with Datadog, ELK, and Azure Monitor, reducing MTTD by 35% and MTTR by 50%.

Education

• York College of the City University of New York

  Bachelor of Science - BS

• ESB Business School, Reutlingen University

  International Business