* Responsible for monitoring, automating, and improving the reliability, performance, and availability of software systems. * Working on tasks such as preventing incidents, managing infrastructure, building effective monitoring systems, and ensuring the smooth operation of computer systems. * Planning resource allocation, managing load balancing, and ensuring that the system can handle demand fluctuations.* When incidents occur, taking part in incident response and management. Detect, diagnose, and resolve issues quickly to minimize the impact on users and the business. Conduct post-incident reviews to learn from the incidents and improve the system's reliability.* I partner with development teams to ensure smooth and reliable releases, contributing to the design of deployment pipelines and implement canary releases and other deployment strategies that bolster the safety and reliability of software updates.

* The scope of my responsibilities includes but is not limited to constructing CI/CD pipelines for micro-services' as well as monolith application's deployment with modern solutions and integrations. * Closely working with Kubernetes for automating deployment, scaling, and management of containerized applications. * Working with Prometheus, Grafana, Kibana and DataDog for the purpose of monitoring applications and resources.Coding, when I have time))

AWS Academy Cloud Foundations course is structured to furnish students with acomprehensive understanding of the AWS Cloud, irrespective of specific technical roles. Itdelivers a thorough overview of cloud concepts, AWS core services, and the pricing, security,architecture, and support associated with these core services. Preparation for the AWS CertifiedCloud Practitioner exam is a key focus of this course. It is delivered through educator-ledtraining, hands-on labs, activities, demonstrations, digital videos, and knowledge checks.

The course covers operating system concepts and components, processes, threads,synchronization (mutex, semaphores, condition variables), deadlock, CPU scheduling,memory management, file systems, device drivers.

• Developing CI/CD road map and implementing to the project (TeamCity, AWS Codebuild, Jenkins)• CentOS/Ubuntu system administration and performance tuning• Web stack: Nginx• VCS: Bitbucket, GitLab, GitHub• Scripting: Python, Shell, Java• Experience with DNS, Cloudflare• Basic experience with Load Balancing (HaProxy)• Developed application features and improvements

• Developed and configured internal applications• Improved applications by consistently testing and refining software prior to rollout• Worked mostly with Cloud Technologies (AWS, GCP). Used services Step Functions, Amazon Connect, created users and managed them by Amazon Cognito, and IAM. Wrote AWS Lambdas for back-end functionality. From CI/CD tools used CodeBuild and CloudWatch for monitoring.

• Hastened human resources processes by developing a cloud-basedinformation system that consolidated employee information from variousdatabases and servers.• By using AWS services, such as AWS Lambda, Step Functions, API Gateway,DynamoDB, S3, Cloud Watch, etc I did Software Engineering with Pythoncollaborating with 20+ team members.