Driving Evolution in Systems That Scale Reliably
Senior backend and cloud consulting for teams that need scalable architecture, production reliability, and faster delivery without unnecessary complexity.
- Cloud modernization
- Backend architecture
- Observability
All engagements are fully remote.
Focused engineering support for critical systems
Project-based execution or embedded engineering support for backend, cloud, infrastructure, and reliability work.
Cloud Architecture
Design cloud foundations that are easier to operate, scale, and maintain.
- AWS and GCP environments
- Deployment architecture
- Infrastructure review
Backend Systems
Build backend services that remain reliable under real production load.
- APIs and services
- Distributed workflows
- Performance tuning
Observability and Reliability
Make failures easier to detect, understand, and fix before they become costly.
- Metrics and dashboards
- Alerting workflows
- Operational visibility
Developer Productivity
Reduce delivery friction with workflows that help teams ship confidently.
- CI/CD pipelines
- Automation
- Internal tooling
Technical work tied to operational impact
The goal is more stable systems, lower operational drag, and better delivery capacity.
Reduced system bottlenecks
Identify slow paths, inefficient queries, and architectural constraints that limit growth.
Improved production reliability
Strengthen monitoring, alerts, deployment workflows, and operational readiness.
Clearer system ownership
Make architecture, dependencies, and failure modes easier for the team to understand.
Faster engineering delivery
Remove repetitive manual steps and reduce friction across development workflows.
See what my clients think about my work
John has a strong bias for action. He routinely takes the initiative to solve tough problems, gathers feedback, and delivers high-quality results quickly. He’s also a highly collaborative teammate who keeps everyone aligned through clear documentation, open discussion and proactively giving feedback to elevate those around him!
John joined our team at the end of 2024 and immediately raised the bar introducing tools and good practice in backend code development and CI that brought structure to our codebase from day one. As a Senior Backend Engineer, he led the hardest parts of our platform revamp, turning chaos into clean, scalable architecture with solid bases to continue growing. Any team building serious backend systems would be lucky to have him.
I worked with João at Flex for 2 years building a web-based ML scoring system for cold-call campaigns. He led architecture (front/back) and implemented nearly everything. Skilled, proactive, and collaborative, he delivered fast and solved a major bottleneck. I'd gladly work with him again.
João was my colleague for 2.5 years at Flex, and his skills are impressive. He was always able to come up with polished and comprehensive solutions from the get-go. He single-handedly built a model serving infrastructure from scratch, which was responsive, intuitive and robust all at once. He can certainly support pretty much any technical challenge you throw at him.
Good architecture must be explainable, reliable and future proof.
A system that cannot be explained clearly will not scale technically or organizationally.
Flexible Engagement Models
Two ways to work together, depending on your needs and stage.
Project-Based Engagement
Best for defined problems such as migrations, architecture reviews, performance improvements, or delivery of a specific technical initiative.
Embedded Engineering
Best for teams that need senior hands-on support inside an existing product roadmap or engineering workflow.
- Work directly with your engineering team
- Contribute to backend and infrastructure delivery
- Improve reliability, tooling, and architecture over time
- Flexible support based on team needs
Transform your product
You likely benefit from this work if:
- Systems are difficult to scale or maintain
- Performance issues impact users
- Deployments are risky or inconsistent
- Infrastructure lacks visibility
- Engineering velocity is slowing down
Tools organized by the problems they solve
- Python, Go, APIs, services
- AWS, GCP, Docker, Kubernetes
- PostgreSQL, MongoDB, Redis
- Prometheus, Grafana, Alertmanager
- CI/CD pipelines, Developer tooling, Workflow automation
Let’s make your systems scale reliably
Book a 30-minute call to discuss architecture, reliability, infrastructure, or delivery bottlenecks.