Ilya Volkov

• Supported Kubernetes and the backend in production: investigated and fixed the causes of incidents, improved monitoring in Prometheus and Grafana
• Reworked the Kubernetes infrastructure of 8 services: moved them to shared Helm charts and a single configuration for Redis, RabbitMQ and PostgreSQL, tuned PostgreSQL for growing load and moved the databases to Postgres Operator

Wrote a shared Helm chart library and CI templates. Developed a Celery/RabbitMQ queue exporter whose metrics HPA used to scale the workers. Introduced werf and review environments, and deployed the platform to Azure AKS

• Prepared the face identification service to run in several regions: photos in S3 with per-region buckets, admin sign-in through GitLab, Sentry for each environment
• Launched the production environment in the European region: CI/CD deployment and Helm charts with autoscaling (HPA, VPA)
• Set up autoscaling for ML services based on uWSGI and RabbitMQ metrics, as well as VPA

Solely responsible for backend and DevOps for two products, developed Django/DRF backend with Channels and Celery, and set up server and GitLab instance.

Developed backend of company's product using Node.js microservices with RabbitMQ and PostgreSQL, and handled Docker builds and Kubernetes deployment via GitLab CI.

Developed API for a customer's web service using C#/ASP.NET with Entity Framework and MSSQL.

Developed APIs and website scrapers in C# and Node.js, and created WinForms desktop applications.

Grade: with honors

Secondary vocational diploma with honors in Software Technician from 2013 to 2017.