Germany
I build high-load Go backends that stay fast, observable, and correct under production traffic - 6 years across adtech, biometrics, food delivery, esports, and web-data platforms. 25K+ RPS in production. 2 years as tech/team lead. Recent work: • ZenRows - #2 contributor on an async batch web-scraping API (Go, DynamoDB, SQS, ECS Fargate). Designed the partition-sharding fix that eliminated timeouts on 100K-URL batch submits; built the webhook delivery system end-to-end. • FACEIT (via Netguru) - greenfield tournament platform for Esports World Cup-scale events. Authored 8 architecture decision records; built a durable-outbox event relay with per-series broadcast delay, Pub/Sub partner webhooks with DLQ/retry (live Twitch + EWC integrations), OpenFGA authorization, Valkey rate limiting. • Global food-delivery platform (via Netguru) - drove a MongoDB→RediSearch cutover across 30+ countries in 4 regions with staged canary rollouts; sole-authored the data-healing replay pipeline and the A/A tooling that proved 99.96% parity across 122K+ products. • Namadgi (Sydney) - tech lead & lead engineer of a multi-tenant biometric identity-verification SaaS: face/voice/liveness/document verification pipeline, fraud engine, CAMARA telco APIs, K3s + ArgoCD GitOps. Stack: Go | PostgreSQL | Kafka | NATS | GCP Pub/Sub | Redis/Valkey | MongoDB | ClickHouse | Kubernetes | Terraform | ArgoCD | AWS (DynamoDB, SQS, Fargate) | gRPC | OpenTelemetry | Debezium. Comfortable in TypeScript/React when the team needs it. Open to Senior Go roles (remote, EU/AU/CIS) as a B2B contractor. Email: [email protected] Telegram: https://t.me/Enkiduck WhatsApp: https://wa.me/+996702569123
Namadgi is an international company with offices in Australia, Romania, Kyrgyzstan, and customers all over the globe. It specializes in AI/Robotics/Cybersecurity. ● Architected high-load distributed microservices platform using Golang, PostgreSQL, and Redis ● Led a 8-person development team delivering 3 startup backends from MVP to production, achieving 99.9% uptime ● Optimized ML model integration workflows, reducing processing latency from 35s to 150ms through Golang concurrency patterns ● Configured Kubernetes clusters and CI/CD pipelines, supporting 10+ microservices ● Built scalable REST/gRPC APIs handling concurrent traffic spikes, implementing rate limiting and circuit breaker patterns ● Established coding standards and conducted 39+ code reviews monthly, implementing clean architecture principles and reducing bug count by 40%
● Scaled DSP platform from 10K to 25K RPS within 4 months, handling $500k daily ad spend through optimized Golang services ● Implemented event-driven caching system using NATS, reducing latency by 60% and improving bid response times ● Refactored legacy system architecture by migrating to Kubernetes, achieving 99.9% uptime and zero-downtime deployments ● Optimized critical path performance using CGO and object pooling, increasing throughput by 150% ● Migrated internal APIs to gRPC protocol, improving inter-service communication speed by 35% ● Architected self-managed Kubernetes cluster on DigitalOcean, reducing infrastructure costs by 30% ● Built real-time bidding engine processing with sub-100ms response times for programmatic advertising
● Architected microservices database schemas for 11 services, reducing query response time by 70% through optimized PostgreSQL design ● Integrated 8 third-party APIs, including payment gateways and logistics providers, achieving 99.8% success rate ● Mentored 3 junior Golang developers on clean architecture principles, improving code review approval rate by 60% ● Designed high-availability architecture for new product line with sub-200ms latency ● Built distributed data synchronization system processing 50K+ events/hour between manufacturing and inventory services ● Developed modern CRM platform replacing legacy 1C system, reducing order processing time from 30 to 5 minutes