Ivan K.

Your business is in safe hands. Whether you're just starting out or scaling an established product, you'll always know what's happening with your infrastructure, what's next, and why it matters. Clear communication, regular updates, no surprises. I am a DevOps Engineer and Azure Architect with 13+ 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. I also collaborate closely with full stack developer teams to improve release processes, deployment reliability, and infrastructure scalability, making sure the gap between development and operations is as small as possible. What clients usually need help with: ✔ Stabilizing Azure DevOps pipelines and deployment workflows ✔ Building scalable Kubernetes infrastructure ✔ Migrating legacy infrastructure to Microsoft Azure ✔ Reducing cloud costs and improving DevOps efficiency ✔ Designing secure Cloud Architecture for growing products ✔ Automating deployments with Terraform and CI/CD ✔ Improving monitoring, security, and infrastructure reliability ✔ Implementing AI Automation into existing delivery workflows The full technology range I work with includes: Azure DevOps, Microsoft Azure, Amazon Web Services, Google Cloud Platform, Kubernetes, Docker, Terraform, Ansible, CI/CD, Git, SQL, Python, Linux, Windows Server, Azure Data Factory, Azure Blockchain Service, Cloud Architecture, Deployment Automation, Network Security, and more. Certifications: ✅ 9x Microsoft Azure Certified ✅ Kubernetes Certified ✅ Terraform Certified If your infrastructure needs structure, your pipelines need reliability, or your cloud costs are climbing without clear control, send me a message here on Upwork. Describe the situation and I will come back with a clear breakdown and concrete next steps.