Senior Backend Engineer
Golang · Cloud Infrastructure · Distributed Systems
Senior Backend Engineer with 6+ years building cloud-native distributed systems and high-performance infrastructure. Experienced in product development lifecycle, business requirements translation. Proven track record leading technical teams, designing scalable architectures, effective stakeholder communication.
Download CV →Experience
High-load backend processing, distributed microservices
- Architected high-load anti-fraud processing core using Go, optimized concurrency patterns, and efficient memory management
- Designed distributed microservices for fraud prevention with Kubernetes orchestration, ensuring high availability SLA
- Led technical decisions on architecture, code standards, and AI-assisted development practices
Monitoring system (Datadog-scale), millions of metrics, team of 4
- Built enterprise monitoring system for thousands of hosts, processing millions of metrics/sec in real-time
- Implemented Go, Victoria Metrics, ClickHouse stack achieving sub-second log querying
- Led DevOps with Docker/Kubernetes, directed backend lifecycle, mentored team of 4 developers
- Established code review standards and CI/CD automation
Global logistics platform, millions of events daily
- Core contributor to global logistics platform processing millions of parcel events daily with Go microservices
- Designed MongoDB data models optimized for high-velocity writes
- Prioritized code clarity and comprehensive testing
High-performance reverse proxy, real-time fraud protection
- Lead developer of real-time anti-fraud reverse proxy (high-performance Go, Docker, Kubernetes)
- Built microservices for fraud protection using Go, Cassandra, Elasticsearch, ClickHouse
- Developed Prometheus/Grafana monitoring
ML models for fraud detection, data analytics
- Developed ML models (Python, scikit-learn) for fraud detection
- Engineered production APIs integrating with live systems
- Analyzed fraud patterns using complex SQL at Yandex, improving search anti-fraud
- Automated analytics with Python
Skills
Languages: Go (expert), Python, TypeScript, SQL, AI coding tools
Infrastructure: Kubernetes, Docker, CI/CD, Terraform, Linux
Databases: PostgreSQL, MongoDB, ClickHouse, Redis, Elasticsearch, Cassandra
Education
Lomonosov Moscow State University
Yandex Practicum