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Dimortix User

@dimortixuser

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Go developer focused on high-load, fault-tolerant distributed microservices.

Russian Federation

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What I'm looking for

I’m looking for a Go role where I can build microservices for high-load, fault-tolerant distributed systems—owning API design, async processing, CI/CD, and observability, with room to deepen system internals and performance.

I’m a Go developer with a deep understanding of building high-load and fault-tolerant distributed systems. I work on backend development in Go, designing microservice architecture and optimizing performance across real workloads.

I participate in the full SDLC—from API design and business logic implementation to CI/CD setup, service deployment, and monitoring. I build systems with REST API, gRPC, and WebSocket, and I handle asynchronous data processing and integration with external services and ML models.

I’m comfortable designing PostgreSQL schemas and indexes, optimizing complex queries, and using Redis for caching and queue management alongside Apache Kafka. I containerize services with Docker and Docker Compose, apply core Kubernetes principles, and I emphasize clean code, unit/integration testing, observability (Prometheus/Grafana), and centralized logging (ELK Stack).

Experience

Work history, roles, and key accomplishments

Apartment Layout Backend

Apartment Layout Generator

Architected a microservice that generates apartment layouts by building a REST API and asynchronous 3D visualization job processing with message queues, persisting task metadata and results in PostgreSQL; added Prometheus/Grafana monitoring and centralized ELK logging, achieving 2,000+ RPS and reducing response time from ~3–5 seconds to <100 ms.

Go REST APIs Message Queues Asynchronous PostgreSQL Prometheus Grafana Centralized Logging (ELK)

ML Training Library Lead

Neural Network Training Library (Go)

Led a team of 3 developers to build a Go neural-network training library with tensors, computational graphs, and automatic differentiation; implemented SGD/Adam optimizers and loss functions and delivered a working prototype that trained linear regression and MLP models.

Go Tensor Computations Automatic Differentiation SGD Optimizer Loss Functions Neural Networks

UAV Flight Analysis Lead

UAV Flight Analysis System

Led a 6-person backend team to design and deliver a Go UAV flight analysis system for telemetry ingestion and analytics, including spatiotemporal PostgreSQL storage, REST + WebSocket endpoints, and fully automated CI/CD; processed 10,000+ telemetry events per minute with <150 ms WebSocket delivery and reduced database load by ~30%.

Go WebSockets Telemetry CI CD Pipelines