Ivan K.

Are your deployments slow, breaking at the worst moments, or costing more than they should? Is your team spending hours on manual releases instead of shipping features? If your CI/CD pipelines are fragile, your Azure infrastructure is growing out of control, or your DevOps processes exist only on paper, you are dealing with a problem that will not fix itself.

I am a DevOps Engineer and Azure Architect with 10+ years of experience helping product teams and growing companies build cloud infrastructure that actually works. Whether it is a startup scaling fast or an enterprise team drowning in legacy pipelines, I come in, assess the real state of things, and build systems that are stable, automated, and cost-efficient.

My primary expertise is Microsoft Azure and Azure DevOps, end to end. That means everything from designing multi-stage Azure DevOps pipelines and managing releases without downtime, to setting up Azure DevOps RBAC, securing environments, and integrating Azure DevOps with Kubernetes clusters running on AKS. I have built Azure DevOps workflows for teams of 5 and teams of 150, and the approach scales both ways. Every Azure DevOps implementation I deliver is built around real business goals, not just tooling checkboxes.

Beyond Azure DevOps, I work across the full infrastructure stack. I design Cloud Architecture using Terraform for Infrastructure as Code, manage containerized workloads with Kubernetes and Docker, and implement Deployment Automation that removes human error from the release process. For data-heavy projects, I build pipelines with Azure Data Factory to handle ETL, orchestration, and integration between services.

For teams building decentralized or blockchain-integrated solutions, I have worked with Azure Blockchain Service as part of broader Microsoft Azure infrastructure setups, combining it with the same security and governance standards applied across all environments.

As an Azure Architect, I cover Cloud Computing governance, cost optimization, and FinOps practices, so your Azure bill reflects actual usage, not waste. I apply the same structured thinking to Network Security, Linux and Windows Server environments, and multi-cloud setups when needed.
When projects require Amazon Web Services, I bring the same DevOps standards to AWS, including AWS DevOps pipelines, CI/CD automation, and infrastructure managed through Terraform. I also work with Google Cloud Platform for teams running workloads across multiple providers.

AI Automation is a growing part of what I do. As more teams start integrating AI into their products and workflows, I help them connect those AI components to production infrastructure properly, with reliable pipelines, automated testing, and deployment flows that treat AI workloads the same way as any other service.