Backend & Cloud-Native Engineer
Javascript • Typescript • Node.js • Golang • Python • Distributed Systems • Event-Driven Architectures
I design and build scalable backend systems focused on performance, reliability, and observability.
My work centers around distributed microservices, event-driven architectures, and cloud-native infrastructure operating under real production load. I value clean system boundaries, measurable optimization, and infrastructure that scales predictably.
Architected and operated serverless ingestion pipelines using AWS Lambda, SQS, DynamoDB, and Kafka.
Delivered large-scale data processing and alerting systems with strong emphasis on reliability, performance, and Terraform-managed infrastructure.
Designed distributed Go microservices deployed on Kubernetes (AKS), integrating Redis and RabbitMQ.
Focused on autoscaling, observability (Prometheus, Grafana, OTEL), and performance benchmarking under production load.
Developed production-grade GraphQL APIs with optimized batching (DataLoader), efficient database access patterns, and strong testing strategies.
Peer-to-peer decentralized storage with automatic replication and encryption.
Focus: distributed consistency, fault tolerance, and network communication.
Benchmarking Kubernetes ingress behavior under live WebSocket traffic.
sync.Pool-based memory optimization validated with profiling.
NestJS microservices using gRPC, RabbitMQ, and SQL/NoSQL storage.
- Measure before optimizing
- Observability is part of system design
- Prefer explicit concurrency
- Infrastructure as Code is mandatory
- Simplicity scales better than cleverness
- Low-latency systems
- High-throughput pipelines
- Scalable microservices
- Production reliability
- Continuous iteration
Email: zubakuardit@gmail.com