- Managing the company's AWS infrastructure: EC2 instances, VPC, S3, EKS, Lambdas and virtual network.- Devising, implementing & maintaining CI/CD pipelines in Azure DevOps. Optimizations I implemented in the CI/CD processes led to 15%-40% reduction of build times.- Assisting the developers with migrating the workloads to the Production k8s clusters. Tools used in the process: Docker, Helm Charts and ArgoCD. While doing so, I reduced the Docker images' size tenfold in some cases, which in turn reduced the application usage footprint on the EKS cluster.- Monitoring the applications with tools such as Kibana (used for storing logs), Grafana and Prometheus.- Overseeing the k8s infrastucture, such as Ingress Controllers, FluentD, NodePools, cluster upgrades.- Administering both the on-prem and Cloud JFrog Artifactory infrastucture. I integrated the JFrog's features throughout all the stages of the company's SLDC which resulted in more secure products and smoother CI/CD processes. - Company's Linux servers administration, including the Artifactory servers.- Maintaining and improving CI/CD processes for the legacy systems running on IIS servers. Managing the Windows servers for the aforementioned loads.

- Maintaining and running the company's Kubernetes infrastructure: setting up and running the clusters in different regions; consulting the developers on deploying the workloads to Kubernetes (i.e. app containerization with Docker, configuring the Kubernetes-related objects for the micro-services).- Running and maintaining the CI/CD pipelines in Azure DevOps: planning the pipelines & implementing them- Setting up & administering IaaS and PaaS solutions on top of the Azure cloud platform: setting up Linux-based VMs and configuring them to run different workloads (such as MongoDB); deploying PaaS products, such as Azure Service Bus, Azure Functions, Azure Key Vaults. Tools used in the process: Terraform & Ansible.- Automating processes and workflows with Python

- Designing and Providing NOC services to the company's client with tools such as Azure Monitor, Datadog and Opsgenie.- Providing support for the customers' focal points in relation to Azure's Iaas and PaaS products.- Automating common tasks with Python and Bash. Running Python scripts on top of Azure's serverless stack.