Position: DevOps engineer
Category: DevOps
English level: upper
Years of experience: 2


In my current role as a DevOps Engineer, I am managing a diverse range of infrastructures including Windows and Linux, with a current focus on GCP tools, GKE, and related Google cloud technologies.

A significant part of my role involves providing support to the development team, helping to troubleshoot and resolve incidents promptly, thereby ensuring smooth application functionality and minimizing disruption to the development process.

My expertise extends across a variety of databases including SQL and NoSQL, demonstrating my adaptability and understanding of diverse data management systems. I'm experienced in deploying and maintaining cloud-based solutions on multiple platforms such as AWS, Azure, and now predominantly GCP.

I've successfully implemented containerization strategies using Docker and orchestrated them with Kubernetes to ensure streamlined deployments and scalable applications.

I utilize a suite of monitoring tools like Prometheus, Grafana, NewRelic, and Datadog for comprehensive system and application monitoring, allowing for prompt issue detection and resolution, thereby ensuring optimal system uptime.

I am proficient in implementing CI/CD pipelines using tools like Jenkins, GitLab CI, Azure Pipelines, GCP Cloud Build, and Bitbucket. My strong understanding of Git contributes to efficient version control and collaborative development practices.

Skilled in scripting with Bash, I automate routine tasks, improving operational efficiency, and reducing errors. I leverage Infrastructure as Code (IaC) through Terraform, enabling efficient and replicable infrastructure deployment.

Throughout my tenure, I have consistently improved system processes, ensured optimal application performance, and mitigated downtime, while maintaining a strong focus on current trends and practices within the DevOps landscape.