I'm Deyvid — DevOps engineer
passionate about Azure, Microsoft tech & AI
I'm a passionate DevOps engineer with deep expertise in Azure cloud infrastructure, Microsoft technologies, and AI solutions. My focus is on building scalable, reliable, and automated cloud environments that empower teams to deliver exceptional products.
I specialize in Azure DevOps, Infrastructure as Code, CI/CD pipelines, containerization, and integrating AI capabilities into modern cloud architectures. I believe in the power of automation and continuous improvement to drive innovation.
At Modeshift, I work as a Senior DevOps Engineer, actively contributing to both development and operations. I take ownership of end-to-end solutions, including coding Azure Functions in C# and PowerShell, managing infrastructure using ARM templates, and automating mobile app deployments. I build internal tools such as a Kotlin-based logging app, manage Service Fabric clusters, and integrate AI-powered solutions leveraging OpenAI and Azure AI Search. Additionally, I develop internal bots for Confluence and automate pipeline triggers to streamline workflows.
At coBuilder, I've been leading DevOps efforts including migrating on-premises infrastructure to Azure, restructuring and streamlining the entire CI/CD process, and moving from Jira to Azure DevOps Boards. I've worked extensively with Azure App Services, Azure Functions, and Service Fabric. Additionally, I implemented full observability for our microservices and SQL databases using Telegraf and Grafana, integrating deep monitoring across the Service Fabric cluster.
As a DevOps Engineer at UltraPlay, I worked closely with mission-critical database systems and spearheaded the implementation of comprehensive monitoring solutions. I successfully integrated the full Grafana stack for real-time performance monitoring and established robust CI/CD automation processes that significantly enhanced our deployment pipeline efficiency and system reliability.