Вадим Герасименко

I have been taking part in Kubernetes Platform Engineering activity developing cluster monitoring and cluster deployment systems.

Key achivements:

• Prepared unit testing environment for the K8S cluster monitoring system, wrote unit tests themselves with coverage over 50%, added test coverage artifacts collection to CI/CD pipeline;
• Developed Kubernetes cluster deployment system with Cluster API based on enterprise cloud environment.

I had been working in the telecom department, participating in the development of the network management system. My responsibilities included implementing features in accordance with high-level design documents, writing integration tests, configuring CI/CD workflows if required, and performing technical onboarding of new employees.

My achievements:

• Configured deployment of Kubernetes cluster via Kind for integration testing process in the Jenkins pipeline;
• Prepared a new environment for E2E microservice testing with a simplified Docker Compose manifest and new CI/CD script setup that reduced startup time by 60% and increased overall stability: the number of test crashes related to non-business logic errors decreased by 5 times;
• Created scripts for the start and stop procedures of the whole project, implementing saving persistent data such as Helm Chart values and Persistent Volumes with corresponding integration tests;
• Wrote a service note describing the process of deployment of the network element simulator via the StatefulSet manifest with replication up to 100 replicas for load testing;
• Wrote a set of instructions on Confluence explaining the process of local deployment for base transceiver station management system in a local environment that allowed us to avoid conducting a separate onboarding meeting.

Responsibilities:

• documenting and developing sustainable API design
• implementing endpoints with further support
• working with database schema, handling queries, migrations, maintaining ER-diagram and other artifacts
• microservices integration
• communication with frontend developers for synchronization concerning current business goals

Key achievements:

• Implemented a custom SCD (Slowly Changing Dimensions) solution for seamless updating user’s relational data exposed to external access by multiple clients.
• Developed a structured advertising statistics tracking system of incoming requests with a custom fingerprinting approach having up to 80% accuracy rate
• Reduced the time for executing SQL queries to calculate combined statistics for a user by 2.5 times
• Located a framework-level bug of Fiber, blocking the release process of a new feature, managed to fix and provide accepted PR within release schedule of a project