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, FastAPI, Celery, Redis, PostgreSQL, MongoDB, Elasticsearch, Docker, GCP, and Linux.
I'm currently at Starfish, building the backend platform behind digital supply chain traceability and connected product data. I develop asynchronous Python services with FastAPI, AsyncIO, and MongoDB, deploy and operate them on Google Cloud Platform, design data models for connected entities and events, and build scalable integrations between partner systems.
Previously 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 while managing Linux production infrastructure end-to-end.
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, the UK, and the US, 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.