antonmak22

DevOps Engineer - Prepared GPU infrastructure within Kubernetes clusters (NVIDIA Device Plugin, drivers), ensuring the correct operation of ML workloads. - Assembled environments for training and inference of neural networks using Helm charts and CI/CD pipelines. - Monitored the efficient allocation of GPU resources using requests/limits and metrics from Prometheus. - Wrapped AI applications (PyTorch, TensorFlow) in containers and launched them in Kubernetes with automatic scaling. - Configured granular GPU access control via namespaces, RBAC, and quotas. - Built a complete CI/CD process for NFT projects from scratch: from build to deployment. - Managed a high-load Kubernetes cluster, withstanding traffic peaks up to 5x during events. - Enhanced observability using Prometheus, Loki, and Grafana, increasing service SLAs to 99.9%. - Redesigned microservice deployment processes: full deployments took about 20 minutes instead of several hours. - Configured secure storage of application secrets and parameters using HashiCorp Vault. - Migrated the infrastructure to Terraform + Terragrunt, achieving a unified standard for describing environments. - Supported blue/green Kubernetes deployments. - Implemented Kafka for real-time streaming data processing. - Created Kibana dashboards for the product team, providing visibility into metrics and service behavior. - Built logging on ELK, which reduced incident analysis time by approximately 40%.

DevOps Engineer - Designed and configured cloud architecture in AWS: EC2, S3, RDS, network policies, IAM. - Deployed Kubernetes clusters for production workloads—fault tolerance, auto-healing, health checks. - Automated server operations using Ansible, significantly reducing manual processes. - Configured MongoDB for IoT services: replicas, status monitoring, backup policies. - Embedded Redis as a cache, speeding up API performance and reducing latency by approximately a third. - Developed CI/CD pipelines in GitHub Actions—the delivery speed of Web3 functionality has significantly increased. - Containerized components (Docker), implemented basic cluster orchestration in Kubernetes. - Created Grafana dashboards, alerts, and metrics for development, QA, and SRE. - Automated setup of developer workstations, increasing testing speed by ~30%. - Participated in integrating IoT device data into blockchain systems.

System Administrator - Maintained corporate IT infrastructure in Windows and Azure environments. - Administered Active Directory, monitored access security and compliance policies. - Configured patches and regular updates to address vulnerabilities. - Implemented a backup system and regularly conducted recovery tests. - Ensured the stability of internal services and resolved L1/L2 requests from employees. - Deployed a Kubernetes cluster for internal dev/test services. - Assembled CI/CD processes within GitLab CI, ensuring low-cost builds. - Containerized services in Docker, speeding up deployment and testing processes. - Supported Linux server provisioning, updates, monitoring, and logging. - Optimized PostgreSQL: indexes, execution plans, configuration parameters — significantly speeded up the processing of some queries.