Open to opportunities

Andres Fernandez Rios

@andresfernandezrios

Software Engineer with 5+ years building backend systems in Java and AWS, delivering scalable, observable event-driven workflows.

Spain

Message

What I'm looking for

I’m looking for a team that values clean architecture and measurable impact—ownership of backend and event-driven systems with strong CI/CD and observability—so I can help ship reliable products end-to-end.

I’m a Software Engineer with 5+ years of experience building backend applications in Java, with hands-on AWS experience. At Phoenix Contact, I led the refactor of a legacy asset management platform into a modular monolith, introducing bounded contexts and clear domain separation to improve maintainability. I also leveraged OpenSearch to establish robust logging and system observability.

I architect and deploy event-driven workflows using AWS services like Lambda, Batch, Step Functions, and EventBridge to offload compute-intensive tasks and reduce API latency for digital twin creation. I’ve driven measurable delivery improvements by optimizing GitLab CI/CD pipeline execution time from 15 to 7 minutes via container reuse in Testcontainers across integration tests. I also deliver full-stack features by building responsive, component-driven frontends in Vue.js.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

Phoenix Contact

Jun 2021 - Present (5 years)

Led refactor of a legacy asset management platform into a modular monolith with bounded contexts, using OpenSearch to deliver robust logging and observability for millions of product assets. Architected AWS event-driven workflows to process 100k+ PDFs and 60k+ article updates/month asynchronously, reducing API load and response latency, and optimized GitLab CI/CD runtime from 15 to 7 minutes while

Java Spring AWS Lambda AWS Step Functions Amazon EventBridge OpenSearch Docker Gitlab CI Vue.Js

Software Engineer

Alisys

Jun 2020 - Jun 2021 (1 year)

Engineered C++ real-time video processing applications with FFmpeg and Linux optimizations to enable low-latency video extraction from specialized hardware. Developed Node.js services for robotic telemetry and built a WebSocket-based streaming solution to deliver multi-device feeds (<100 ms latency) to browser clients.

C FFMPEG Linux WebSockets Video Processing Low Latency Networking Integration Testing

Assistant

Deloitte

May 2019 - Jun 2020 (1 year 1 month)

Built custom features for third-party governance platforms, creating data visualizations that surfaced key metrics and improved visibility into system data.

Data Visualization Agile Development