Resilient payment platforms
Designing backend flows for payments, reporting, reconciliation, and failure isolation in distributed services.
Edoardo Fratus
Software Engineer III @Satispay
Edoardo Fratus
Software Engineer III for distributed fintech systems.
I am Edoardo Fratus, a Software Engineer III in Milan working on high-scale fintech systems at Satispay. I like the part of engineering where product pressure, reliability, and clean system design all meet: payments, reconciliation, fan-out processing, circuit breakers, and the boring-but-critical details that keep platforms calm under load.
Recently I have been leading end-to-end delivery for major Welfare and Flexben features, coordinating Product, frontend, mobile, and backend work while staying hands-on in backend technical analysis and implementation. I also use AI in a concrete way: building agents and local workflows that remove repetitive engineering work without removing engineering judgement.
SWE III
L5 software engineer at Satispay
EUR 30M
processed in 3 months on Satispay Fringe Benefits
Java 8-25
across production backend services
What I work on
Backend systems where reliability is part of the product.
Performance under load
Using event-driven fan-out, AWS services, and Virtual Threads to improve throughput in I/O-bound systems.
AI for engineering work
Building Claude subagents, local AI experiments, and workflow automation that solve real engineering bottlenecks.
End-to-end ownership
Turning ambiguous product goals into technical analysis, coordinated delivery, launch readiness, and production follow-up.
Case studies
Concrete problems, delivered without exposing confidential details.
End-to-end Flexben feature delivery
Problem: A major Welfare/Flexben feature needed to move from product discovery to production without losing alignment across multiple teams.
Approach: Owned backend technical analysis, translated product needs into implementation plans, and coordinated frontend, mobile, and backend integration.
Impact: Delivered through a six-month lifecycle with cleaner cross-team execution and a stronger bridge between product goals and backend reality.
Read case studyAI agents for engineering throughput
Problem: Recurring low-level and boilerplate engineering tasks were slowing teams down and consuming attention better spent on design quality.
Approach: Created Claude subagents and practical AI workflows for code generation, analysis, scaffolding, and repetitive task automation.
Impact: Moved AI from experimentation into concrete internal engineering workflows used beyond a single personal setup.
Read case studyEvent-driven year-end order processing
Problem: Flexben year-end operations required simultaneous processing of many closing workflows under bursty load.
Approach: Designed an event-driven fan-out system and paired it with resilience patterns for safer high-volume execution.
Impact: Improved scalability and operational confidence for time-sensitive order closing flows.
Read case studySelected stack
Backend, cloud, data, and AI tools I use in real systems.
Java 8/11/17/21/25
Spring Boot
AWS Lambda
EC2 / ECS
SQS / SNS
Kinesis
PostgreSQL
MySQL
DynamoDB
MyBatis
Docker
LLMs
AI Agents
Local AI
Python
How I work
Technical ownership with product context and production discipline.
I own the path, not just the ticket
I like taking a feature from ambiguous product need to technical plan, implementation, launch, and follow-up.
I stay close to the code
Leadership is most useful when it is grounded in design tradeoffs, code review, production constraints, and real delivery pressure.
I use AI where it pays rent
LLMs, agents, and local AI experiments are useful when they reduce repetitive work, improve analysis, or make migrations safer.
Selected experience
From computer vision prototypes to production fintech platforms.
Software Engineer III (L5)
Satispay
Mar 2026 - present
Leading end-to-end delivery of major Welfare and Flexben features, translating product needs into technical specifications and coordinating frontend, mobile, and backend teams.
Software Engineer II (L4)
Satispay
Feb 2025 - Mar 2026
Designed and implemented high-impact Welfare Flexben features, including core payment platform work, report reconciliation, fan-out order processing, circuit breakers, and virtual-thread adoption.
Junior Software Engineer (L3)
Satispay
2023 - 2025
Co-built the Satispay Fringe Benefits backend from scratch, focusing on Order and Purchase flows and supporting EUR 30M in transactions in the first three months.
Software Engineer Intern
Accenture
2023
Developed a Python microservice for document defect detection using computer vision, YOLO, and deep learning.
Writing
Topics I want this blog to become useful for.
Backend engineering notes
Java and Spring patterns
AWS event-driven systems
AI-assisted development
Fintech reliability lessons
Contact