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Caio Cesar — Tech Lead

I build technology that scales. And the teams that carry it.

Technical leadership, architecture and execution for systems that can’t afford to stop.

Now
Tech Lead, two teams
Focus
Architecture, scale, resilience
Based in
São Paulo, Brazil

01 — Scale

At this scale, every decision is multiplied.

One extra call, one poorly tuned timeout, one ambiguous contract between services — what is a detail in a small system becomes platform behaviour. That is the environment I work in today.

02 — Path

  1. I learned to build systems.
  2. Then to own technical decisions.
  3. Then to lead engineers and projects.
  4. Now I work where engineering, architecture and leadership meet.

03 — Trajectory

The scope grew ahead of the title.

Every stage widened the radius of decision — from code to system, from system to project, from project to teams. Some of them ran in parallel.

  1. Dec 2022

    Full-Stack Developer

    IT Power Software

    Code

    First professional role: every phase of the software lifecycle, on projects for regional and global clients.

    Learning to build — and to understand who it’s for.

  2. Apr 2024

    Software Engineer → Mid-level+

    LimoGrid · New York, US

    System

    A platform for executive-transportation companies in the US: legacy integrations moved to REST APIs, the customer-facing system rebuilt in React + Next.js, Stripe as the official gateway, and self-hosted maps.

    From isolated features to the whole system.

  3. Apr 2024

    Project Manager

    IT Power Software

    Project

    Ran projects and teams for insurance-sector clients, and led a project whose implementation spanned 17 countries across Latin America.

    Coordinating people, deadlines and contexts — not just code.

  4. Feb 2025

    Frontend Engineer, Mid-level → Mid-level+

    VONBZ

    Architecture

    Interface architecture: a domain-modular frontend for a healthcare product, then structural refactoring and standardisation on a high-traffic platform.

    From executing decisions to making them.

  5. Dec 2025 — now

    Tech Lead

    VONBZ

    Teams

    Cross-team technical lead for two teams on a platform that peaks at millions of requests per minute: architecture, BFFs and microservices, critical incidents and technical governance.

    Technical direction across teams.

04 — By the numbers

05 — Engineering stories

How I think, in three decisions.

Three real situations, anonymised. The summary takes seconds; the full story — with the architecture assembling step by step — is one click away.

Skip to How I lead

01High-traffic consumer platform · critical incident

When production breaks, the first decision is what not to do.

Critical incidents on a high-volume platform test architecture and leadership at the same time. The signal shows up at the edge; the cause almost never lives there.

Decision
Separate mitigating from fixing: reduce the impact first, root cause second.
Trade-off
Roll back fast or fix for real — decided by what each minute costs.
Outcome
Every critical incident becomes a resilience and governance standard.
Read the full story
ContainmentChannelsEdgeBFFServiceServiceIntegrationObservability
The symptom shows up in the channel; the cause sits two layers down.

  1. Context

    A platform peaking at millions of requests per minute on AWS and Kubernetes, with several layers of services and dependencies on external integrations. A production problem rarely stays in one place.

  2. Challenge

    The symptom reaches the end user, but the cause sits a few layers below — sometimes outside your own system. Meanwhile the impact is multiplied by volume, every minute.

  3. Decision

    Separate mitigating from fixing. Reduce the impact first; find the root cause with a clear head. Resist the rushed fix that silences the symptom and hides the problem.

  4. Architecture

    Trace the request from the channel to its origin: edge, BFF, services, integrations. Logs and observability are what turn a hypothesis into evidence.

  5. Trade-offs

    Rolling back is fast, but may not be an option when the origin belongs to another team or vendor. Fixing forward solves it for real, but demands certainty. The choice depends on what each minute of impact costs.

  6. Leadership

    In an incident, clarity is leadership: who investigates what, who communicates, when the next update lands. Deciding under pressure without turning the moment into a search for someone to blame.

  7. Outcome

    Every critical incident feeds back into resilience standards and technical governance — the work doesn’t end when the graph goes back to normal.

  8. Reflection

    Incidents are audits nobody scheduled. They show you exactly which architectural decisions were implicit.

02High-traffic consumer platform · Tech Lead

Two teams, one platform — and the boundary between them.

In a BFF-and-microservices architecture that peaks at millions of requests per minute, the boundary between layers is the decision you make most often — and the one that costs most when it stays implicit.

Decision
Make explicit what belongs to the BFF, what belongs to the service — and who decides when the line is crossed.
Trade-off
Speed for each channel versus coupling between teams.
Outcome
Standards with a clear owner, and teams that decide without waiting for sign-off.
Read the full story
Kubernetes · AWSTeam ATeam BChannelsEdgeBFFBFFServiceServiceServiceServiceData
Channels → edge → BFFs → domain services, on Kubernetes in AWS.

  1. Context

    A consumer platform with several channels, served by BFFs and microservices on Kubernetes in AWS, facing peaks of millions of requests per minute. Two teams shipping on the same foundation, across different parts of the product.

  2. Challenge

    Each channel needs data shaped its own way. Without a clear rule, business logic leaks into BFFs, services turn into data stores, and every extra call is multiplied by the volume.

  3. Decision

    Make each layer’s role explicit: the BFF composes and adapts for its channel; the service owns the rule and the data. Anything crossing that line gets discussed up front, not discovered in code review.

  4. Architecture

    Channels call dedicated BFFs; BFFs orchestrate domain services; services own their storage. Resilience, consistency and predictability across those layers are design requirements, not last-minute tuning.

  5. Trade-offs

    Composing in the BFF speeds up the channel but duplicates logic if nobody guards the boundary. Centralising in the service protects the rule but couples teams more tightly. There is no fixed answer — only a criterion applied case by case.

  6. Leadership

    With two teams on one platform, the boundary is organisational too. The work is aligning criteria, writing standards down and giving structural decisions a clear owner, so each team can move without waiting for sign-off.

  7. Outcome

    Standards and technical governance that reduce complexity — and teams better able to decide on their own.

  8. Reflection

    Architecture at scale is, first of all, an agreement between people. The diagram is the easy part; the hard part is the criterion everyone applies when you’re not in the room.

03Project management · Latin America

One implementation, seventeen countries.

Before technical leadership, project management taught me that scale isn’t only traffic. It is also people, time zones and context.

Decision
Define what must be identical everywhere and what may vary per country.
Trade-off
Standardise to expand fast versus adapt to each context.
Outcome
An implementation that spanned 17 countries across Latin America.
Read the full story
17 countriesImplementation
One foundation, expanded to 17 countries across Latin America.

  1. Context

    Project management for clients across sectors and regions. A partnership built in Brazil led to a referral to a multinational logistics company — first in Brazil, then in Ecuador.

  2. Challenge

    The project grew to cover all of Latin America: one implementation that had to work across 17 countries, with stakeholders and expectations that don’t align on their own.

  3. Decision

    Define what must be identical everywhere and what may vary per country — and protect that definition throughout the project.

  4. Architecture

    A shared foundation, replicated, with clear variation points. The more explicit those points are, the less each new expansion becomes a project from scratch.

  5. Trade-offs

    Standardising speeds up expansion but can ignore local needs. Over-customising serves each country and makes the whole impossible to maintain.

  6. Leadership

    Leading the project meant aligning people who don’t share a time zone, a language or priorities — and building the trust that made the scope grow.

  7. Outcome

    An implementation that spanned 17 countries across Latin America.

  8. Reflection

    This is where I learned that leading a project means managing decisions, not tasks. I bring that to every technical decision I make today.

06 — How I lead

This is how I operate.

Not a list of values. These are the criteria that surface when a hard decision lands on the table.

  1. Clarity before speed.

    A fast team heading the wrong way just reaches rework sooner. Before accelerating, I make the problem, the criterion and the decision-maker explicit.

    In practiceEngineering standards and governance across two teams.

  2. Autonomy is an architectural goal.

    If every team needs me to move, the architecture and the standards have failed. My job is to make the next decision possible without me.

    In practiceRaising the teams’ technical level and decision-making capacity.

  3. Resilience is designed.

    Any system at scale will fail. The question is whether the design already knows how to fail well — or whether we’ll find out in a hurry.

    In practiceDiagnosing and mitigating critical incidents on AWS and Kubernetes.

  4. Simplicity is an investment.

    Every new layer, service or abstraction carries a cost that’s paid for years. I prefer the solution the next engineer understands without needing me.

    In practiceLegacy ColdFusion integrations moved to REST APIs.

  5. Systems, not tickets.

    A local change is rarely local. I look at the effect across services, teams and the business before looking at the task.

    In practiceCross-team architectural decisions across several product fronts.

  6. Communication is part of delivery.

    A good decision poorly communicated becomes a bad one in execution. Writing, aligning and explaining is technical work.

    In practiceA project led across 17 countries in Latin America.

07 — Beyond a local context

Engineering without a fixed border.

Part of the path happened beyond Brazil — with teams, clients and implementations that meant working in another language, another time zone and another working culture.

08 — Capabilities

Technology in service of the decision.

Organised by what it solves, not by logo. Tools change; the criterion for choosing them is what lasts.

Architecture
Drawing boundaries that hold up under scale and growing teams.
  • BFFs
  • Microservices
  • Distributed systems
Infrastructure
Operating predictably where volume is unforgiving.
  • AWS
  • Kubernetes
Product engineering
Interfaces and services with clear contracts end to end.
  • React
  • Next.js
  • TypeScript
  • Node.js
  • .NET
  • Express
Client state & data
Choosing the state model for the problem, not out of habit.
  • React Query
  • Redux Toolkit
  • Zustand
  • React Hook Form
  • Zod
Data & integration
Integrating third-party systems without inheriting their fragility.
  • SQL
  • REST APIs
  • Stripe
  • GraphHopper
Also along the way
Stacks that taught respect for legacy systems — and how to migrate them.
  • Angular
  • Ionic
  • ColdFusion
Practices
What holds everything above together.
  • Scalability
  • Performance
  • Resilience
  • Clean code
  • Technical governance
  • Incident response

09 — About

Caio Cesar.

I’m a Tech Lead. I lead two teams technically on a high-scale platform, where my decisions cover architecture, performance, resilience — and how people work together.

I care about systems that keep working when nobody is watching, about reducing complexity instead of accumulating it, and about teams that can make good decisions without depending on a single person.

I started in December 2022. What has changed since isn’t the tooling; it’s the size of the decision. I’m still widening that radius.

Education
Information Systems — FIAP (in progress)
Technical degree
Computing — FIEB
Based in
Barueri, São Paulo, Brazil

10 — Contact

What comes next is still being built.

Open to conversations about technology, engineering and leadership — professional opportunities, executive conversations and collaborations that make sense.