Location
Moscow, Russia
Senior Go Backend Engineer
Distributed systems, high-load & low-latency | service mesh, vehicle telemetry, secure APIs | 70K+ RPS, p99 <50 ms
Backend engineer focused on distributed systems, production infrastructure, and high-load, low-latency services. 5 years of commercial experience across electric-vehicle telemetry, service mesh, retail pricing, crypto payments, utility billing, and public digital services, with earlier backend work in Java. I own backend work end to end: clarify ambiguous requirements, choose architecture through trade-offs, implement core services, add tests, observability, and security, and ship through CI/CD.
Location
Moscow, Russia
Experience
5 years of backend development
Format
Office, hybrid or remote; Moscow or Saint Petersburg, ready to work from Turkey / open to relocation
ATOM develops an electric-vehicle platform. In the communications and telemetry team, I build production backend services that keep vehicles securely connected to the cloud, integrate external clients, and support low-latency MQTT, gRPC, and API flows.
Sber Tech develops Platform V, a large enterprise platform. In the Service Mesh & Platform Infrastructure team, I worked on a heavily customized Istio fork and adjacent Kubernetes components for workload control, policy enforcement, and platform integration.
Magnus Tech is a custom software development company. I worked on a pricing-control platform for the Bristol retail chain that unified store data, employee actions, ML pricing recommendations, and photo confirmations into one workflow for operations teams.
Exnode develops crypto exchange, B2B payment, and P2P trading products. I worked as part of a larger backend team on transaction flows where payments, exchange operations, and reporting had to stay consistent and fast under real business load.
Customer portal and internal administrative system for personal accounts, utility billing, payments, and property-management operations.
Public-sector digital services: self-employment registration workflows and emergency-call analytics with map-based views.
Formal education and current degree track.
B.S. in Intelligent Automated Systems (part-time)
Vocational diploma in Information Technology and Programming
Patterns that best describe my engineering style and career direction.
I make architectural decisions through concrete trade-offs: latency, reliability, operational complexity, team capacity, and future change cost. I am comfortable choosing between Redis and PostgreSQL, gRPC and REST, or a broker-centered design and a broader microservice split.
I have built both platform infrastructure and product backends: service mesh components, testing infrastructure, vehicle telemetry, retail pricing, crypto payments, utility billing, and administrative systems. This range helps me translate product needs into reliable service boundaries and production infrastructure.
I mentor interns and engineers, explain system design and backend fundamentals, and turn feedback into concrete growth plans. I want my path toward technical leadership to stay grounded in hands-on engineering.
I ramp up quickly in unfamiliar domains and technologies: Go, Kubernetes/Istio, MQTT, service mesh, crypto payments, retail systems, and vehicle telemetry. I use AI tools pragmatically for research, routine implementation, tests, and refactoring, while keeping architecture and production-risk decisions under my own review.