Backend Architecture
Design and build production-grade Python services. Re-architect legacy systems into clean, maintainable, container-friendly codebases.
Senior Backend Engineer building distributed systems and high-scale data platforms in Python.
10+ years programming, 5+ years scaling production crawling and data pipelines from 100K to 100M+ requests. I take systems from architecture to production — and keep them running.
I'm a Python backend engineer with 10+ years of programming experience and 5+ years building production-grade backend platforms professionally — all in fully remote environments. My core stack is Python, Celery, Redis, PostgreSQL, Elasticsearch, Docker, and Linux.
At Little Forest, I led the re-architecture of a legacy Java crawling platform into a Python-based distributed system, scaling it from 100,000 to over 100 million requests. I designed high-performance data pipelines, implemented distributed task processing, optimized PostgreSQL at scale, and containerized core services with Docker. I manage Linux production infrastructure end-to-end and build RESTful APIs supporting both internal services and third-party integrations.
Beyond development, I'm responsible for production reliability, infrastructure maintenance, monitoring, and operational troubleshooting across distributed services. I enjoy technically challenging work involving scalability, automation, and high-volume data processing — and I'm currently open to new remote opportunities across Europe and the UK, full-time or B2B.
Available for full-time roles or B2B contracts — long-term partnerships are preferred. I help teams ship reliable backend systems and recover from scaling pain.
Design and build production-grade Python services. Re-architect legacy systems into clean, maintainable, container-friendly codebases.
Scale crawling, ingestion, and data pipelines using Celery, Redis, and message queues. Battle-tested patterns from 100M+ request workloads.
RESTful APIs that internal teams and third parties actually want to use — properly documented, versioned, and instrumented.
PostgreSQL and ElasticSearch design, query tuning, and schema evolution at scale. Index audits, slow-query triage, capacity planning.
Linux production ops, Docker, CI/CD, monitoring, and operational troubleshooting. End-to-end ownership from deployment pipeline to 2 a.m. pager rotations.
Advanced day-to-day use of Claude Code for design, implementation, and review — shipping faster without sacrificing engineering rigour.
Looking for a backend engineer who can take a system from architecture to production and own it through the rough edges? I'd love to hear about what you're working on — full-time or B2B.