About
Adrian Romo — Senior Backend Engineer.
8+ years building scalable Python APIs, AWS Lambda architectures, voice systems, and enterprise integrations for virtual support platforms.
Overview
I'm a Senior Backend Engineer based in Mexico. I design and ship Python backend systems, AWS-heavy architectures, voice infrastructure, and enterprise integrations where reliability, security, and maintainability are non-negotiable.
My recent work centers on enterprise virtual support agents — backend APIs, omnichannel integration frameworks, AWS Lambda services, and voice-first IVR flows built on Amazon Connect, Lex, and Polly. I work cross-functionally with product, QA, and UX, lead code reviews, and operate services across multi-region AWS environments.
How I work
Principles I keep coming back to.
01
Secure by default.
Enterprise backend systems should not treat security as a final checklist. I design APIs, authentication flows, integrations, MFA patterns, and secrets handling with security built into the architecture from the start.
02
Reusable frameworks over repeated fixes.
When the same integration pattern appears across channels, I look for the shared abstraction. The goal is not only to ship one integration, but to build maintainable foundations for Slack, Teams, Google Chat, Webex, voice, and future channels.
03
Reliability is a product feature.
A backend system is not finished when it works locally. It needs testing, code quality, predictable delivery, clear ownership, and operational behavior that holds under real enterprise usage.
04
Clarity scales teams.
Good architecture should be understandable by the people who maintain it. I value code reviews, documentation, mentoring, SCRUM collaboration, and cross-functional alignment because they reduce defects before they reach production.
Technical focus
Where I spend my time.
Tools and platforms I reach for, grouped by where they show up in the work.
Backend
- Python
- Django
- Flask
- REST APIs
- Celery
- Object-Oriented Programming
- Pytest
Cloud / AWS
- AWS Lambda
- Multi-region deployments
- S3
- IAM
- Docker
- Kubernetes
- Terraform
- CI/CD pipelines
Voice / IVR
- Amazon Connect
- Amazon Lex
- Amazon Polly
- Speech-to-text / Text-to-speech
- NLP
- Asynchronous IVR flows
Integrations
- Slack
- Microsoft Teams
- Google Chat
- Webex
- Enterprise application integration
- Authentication / MFA
- Secrets handling
Databases / Infrastructure
- Postgres
- Redis
- SQL
- Schema design
- Data migration
- Performance optimization
- SonarQube
Now
What I'm building toward.
Building scalable Python backend systems for enterprise virtual support agents
Architecting voice-first IVR integrations with Amazon Connect, Amazon Lex, AWS Lambda, and Polly
Scaling omnichannel integration frameworks across Slack, Microsoft Teams, Google Chat, and Webex
Improving secure API development, authentication, maintainability, and reliability across enterprise integrations
Connect
Want to talk?
I'm open to senior and staff backend engineering roles, and happy to talk architecture, integrations, voice systems, or how backend platforms scale across enterprise teams.