Çayırova District, Kocaeli, Türkiye
Senior DevOps Engineer with over 6 years of experience in DevOps, Cloud, and Application/Site Reliability Engineering. My expertise primarily lies in Azure, Kubernetes, Terraform, CI/CD Pipelines, container and operating system management and security. I am a quick adapter, believe in lifelong learning and development, possess high self-discipline, and excel at teamwork. I leverage my experience and expertise to the fullest in every project I undertake, always striving to deliver the best possible results. Skills: - Infrastructure & Cloud: Azure, AWS, GCP, Huawe' Cloud\ MS365 and Microsoft 365 (Office 365) - Operating Systems: Windows Server Family, Ubuntu Linux, RHEL, Oracle Linux - AI: Anthropic Claude, Microsoft Azure AI Foundry development, Copilot - Automation & IaC: Terraform,Bash, PowerShell, Python, Ansible, Ansible AWX - CI/CD: Jenkins, Azure DevOps, Gitlab, Argo CD, Helm , Artifactory, JFrog Xray - Monitoring Prometheus, Grafana, Icinga, Nagios, Splunk - Version Control: Git, Bitbucket, GitHub Enterprise, SVN - Security: IAM, ACL's, Group Policy, Azure Policy, Trendmicro Deep Security, Azure Defender Cloud, Sentinel - Network Services: DNS, DHCP, NPS, VPN, Load Balancers, IIS, Microsoft Certificate Services. - Microsoft Products: Exchange Server 2003/2019, Exchange Online, Microsoft SharePoint Server and SharePoint Online
Participated in an AI-based internal product as a DevOps Engineer in an international team. • Managed and maintained AI/ML pipelines on Azure, covering data ingestion, preprocessing, model training, evaluation, deployment, and monitoring. • Automated workflows using Azure DevOps CI/CD pipelines by considering reproducibility and faster delivery of ML models • Managed infrastructure components: Azure Machine Learning Workspace, AKS clusters, and Data Lake, optimizing scalability and cost efficiency. • Established version control and experiment tracking for code, data, and models using Git and MLflow. • Integrated security and compliance practices (RBAC, Key Vault, Azure AD) into ML pipelines to safeguard sensitive data. • Set up monitoring and logging solutions (Application Insights, Prometheus, Grafana) to detect model drift and maintain production reliability. • Collaborated closely with data scientists to operate ML models and prepare it for the development production environments. • Participated in documentation and reporting.
• Managed Azure environments across development, staging, and production stages. • Installed and administered Apache Tomcat on Oracle Linux and RHEL for enterprise-grade applications. • Designed CI/CD pipelines with Jenkins and Azure DevOps, improving release reliability. • Developed Bash, PowerShell, and Python scripts to automate operational tasks. • Authored Ansible AWX playbooks to reduce configuration drift and setup errors. • Operated monitoring systems including Prometheus, Grafana, Nagios, and Splunk. • Documented workflows in Confluence to support onboarding and team knowledge sharing. • Mentored junior engineers, fostering technical growth and collaboration.
• Configured and managed development, staging, and production environments across Huawei Cloud, Microsoft Azure, and on-premises infrastructure, ensuring high availability and consistent performance. • Deployed and administered Kubernetes microservices and virtual machine workloads on VMware vSphere, Azure, and Huawei Cloud, supporting scalable and resilient application architectures. • Implemented observability stacks including Prometheus, Grafana, and ELK; built custom dashboards and logging pipelines to improve system visibility and operational insight. • Maintained CI/CD pipelines using Jenkins, GitLab, and Jenkins CI, enabling automated build, test, and deployment workflows across hybrid environments. • Automated infrastructure provisioning and configuration with Ansible and Terraform, supported by Bash, PowerShell, and Python scripting to reduce manual effort and improve operational consistency.