I am a platform and SRE engineer with 7 years of experience delivering outcomes across DevOps, cloud platform engineering, MLOps observability, and AI-augmented operations. I focus on turning fragmented, manually operated systems into team-owned capabilities that are reliable, automated, and easy to maintain.
I have worked on observability, infrastructure, and platform engineering initiatives in environments ranging from internal developer platforms to large-scale production systems supporting $4B in turnover. My work has included building observability libraries, landing zones, CI/CD workflows, and AI-assisted SRE tooling.
I am comfortable operating independently and taking ownership of complex delivery from architecture through implementation, documentation, and handover. In several roles, I have led or delivered major platform components largely solo while ensuring the internal teams could own and extend the solutions afterward.
My technical background includes AWS, Kubernetes, Terraform, Terragrunt, ArgoCD, ECS, Fargate, GitHub Actions, Azure Pipelines, GitLab CI, Jenkins, Python, and a broad observability stack including DataDog, Prometheus, Grafana, AppDynamics, CloudWatch, and Splunk.
I have experience modernizing infrastructure and application delivery, including migrations from manual server administration to infrastructure as code, ECS EC2-to-Fargate migration, and Jenkins-to-GitHub-Actions transitions. I also build tooling that improves reliability and reduces incident diagnosis time.
I hold AWS and Kubernetes certifications and I enjoy working at the intersection of reliability, automation, and platform thinking. I am open to remote work and relocation, and I am based in Košice, Slovakia.
Sole owner of observability for an MLOps pipeline platform built from scratch. Designed and delivered the full observability layer for heavy equipment telemetry data pipelines. Provisioned alarms, dashboards, and custom metrics as code through Azure Pipelines. Built AI runbooks tooling for log and event triage using historical incident matching in DynamoDB.
Led delivery of an ISO 27001-aligned AWS Landing Zone for an internal development platform. Delivered architecture, implementation, documentation, and handover largely independently. Led the follow-on setup of a Kubernetes-based internal developer platform using Terragrunt.
Provisioned and maintained a Node.js diagnostics reporting tool for crashed pods and internal health metrics. Automated AppDynamics business transaction synchronization across distributed applications. Built dashboards, custom metrics, and alerting rules across Prometheus, Grafana, and AppDynamics. Handled on-call bridge duties during incidents.
Owned the Terraform module library with Git-tagged templates for repeatable and auditable infrastructure provisioning. Built and owned a company-wide DataDog library and became the primary observability contact. Introduced SRE practices in a FinOps-focused environment. Built a per-endpoint memory leak diagnostic tool and integrated it into GitHub Actions.
Migrated roughly 200 EC2 servers from manual SSH administration to automated infrastructure workflows. Co-led an ArgoCD configuration approach for environment variables. Designed and led a proprietary AWS Landing Zone product built on AWS Control Tower. Streamlined the Golden AMI pipeline.
Led ECS EC2-to-Fargate migration. Orchestrated the Jenkins-to-GitHub-Actions transition for Java-based applications. Troubleshot AWS infrastructure using CloudWatch and Splunk. Managed access control for Cognito, IAM, Guardrails, and Secrets.
Managed Linux-based application administration. Contributed to modern CI/CD adoption via GitLab pipelines and scripting. Provisioned AWS services. Developed a Python script for streamlined configuration file management.
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