Position: DevOps engineer / Cloud Engineer
Category: DevOps
English level: fluent
Years of experience: 5

• Reduced infrastructure costs by 60% through optimizing resource allocation, leveraging reserved instances or spot instances, implementing auto-scaling and load balancing for effective handling of variable workloads.

• Enabled robust security and compliance by implementing secure network architectures, configuring access controls and permissions, enabling encryption of data in transit and at rest, and conducting regular security audits and vulnerability assessments.

• Improved deployment time by 80% through introducing robust pipelines, infrastructure as code, and establishing CI/CD practices for efficient and consistent infrastructure provisioning and updates.

• Decreased manual configurations by 80% using configuration management tools such as Ansible.
As a Senior DevOps / MLOPs Engineer, I have gained hands-on experience working with a wide range of technologies and tools. I have effectively utilized many tools and platforms to deliver robust solutions and contribute to the success of various projects.

Specifically, I have proficiently worked with Microsoft Azure, leveraging its infrastructure, networking, and monitoring capabilities. I have utilized Azure CLI, Azure DevOps, Azure Networking, Azure App Service, Azure Monitoring, Azure SQL, Azure Storage Account, Azure Storage, Azure SQL Database, Azure PowerShell, Azure Active Directory, Azure Insight, Azure Backup, and more. These technologies have enabled me to deploy, monitor, and maintain cloud-based applications and services with ease.

Moreover, I have extensive experience with Amazon Web Services (AWS), including EC2, EKS, S3, ECS, RDS, Lambda, VPC, ECR, API Gateway, CodeBuild, CloudWatch, and others. I have successfully deployed and managed scalable infrastructure on AWS, ensuring high availability and optimal performance for applications and services.

Again, I have also worked on GCP by leaveraging heavily on its services such as GKE, Cloudrun, Cloud functions, VPC, Artifact Registry, Loadbalancers, Compute Engines, App Engine and Cloud SQL and many others.

Throughout my projects, I have employed CI/CD practices using tools like Jenkins, Github Actions, and Docker to automate the build, test, and deployment processes. Additionally, I have leveraged Terraform to define and manage infrastructure as code, ensuring reproducibility and scalability.

To monitor and gain insights into system performance, I have utilized Grafana, Fluentd and Prometheus, allowing for real-time monitoring and proactive issue resolution.

Lastly I have also done migration projects where I migrated an on-premise sql server and an old legacy .Net applications to Microsoft Azure.

Moving forward, I aim to further improve my skills and expertise in these areas. I am particularly interested in enhancing my knowledge of container orchestration tools like Kubernetes to optimize the management and scaling of microservices. Additionally, I intend to explore advanced monitoring and observability techniques using Grafana and Prometheus, enabling real-time insights into system performance and proactive issue resolution. Thanks.