Lead DevOps Engineer at EPAM Systems

Design, implementation and optimization of solutions for EPAM customers on the AWS public cloud. Key Achievements: • Gathered, analyzed the requirements, and designed a minimum viable product (MVP) of a reverse proxy from scratch, including its architecture which was adopted organization-wide. Achieved throughput improvements: 4000% and latency improvements of about 20%. • Designed and implemented DNS regional failover solution using Route 53 for the reverse proxy to ensure fault tolerance across regions. • Designed and built a self-service onboarding tool for the reverse proxy, enabling customers to onboard seamlessly. • Architected and implemented a Blue/Green deployment process for AWS Autoscaling Group using Terraform, reducing deployment times by 400%. • Developed a multi-region, multi-account Golden AMI workflow, ensuring consistent and secure AMI deployment across the organization. • Migrated all application workflows from Concourse CI to GitLab CI, designed and built scalable architectures to streamline deployment pipelines • Researched and implemented POC of Karpenter for EKS autoscaling solution • Developed a migration plan for 2 EKS clusters to migrate to Karpenter autoscaling solution • Developed numerous automation solutions using AWS Lambda, improving operational efficiency and reducing manual interventions • Created a POC for API Gateway, including tooling and usage of custom JWT authentication mechanism • Designed and implemented as a stage Grate DB migration tool in the organization-wide for SQL scripts testing Key Technologies and Tools Used: • AWS Services (Compute: ECS, EKS, EC2, Lambda) • K3s • AWS SDK for Python • Python 3 • Lua 5.1 with LuaJIT 2.0 • Amazon Linux 2 • Terraform • Bash • CI/CD: GitLab, Bamboo, Concourse CI, GitHub Actions, Jenkins • Ansible • Packer • LXC • Docker • NGINX • Kong Enterprise • Pongo • AWS RDS (Aurora with MySQL and PostgreSQL) • Monitoring: CloudWatch, DataDog, ELK, Grafana, Prometheus Tools: • JIRA • Confluence