BUILT TO BREAK? SYSTEMS DESIGNED FOR THE SCALE YOU NEED. NOT THE SCALE YOU HAD.
Your monolith got you to Series B. Congratulations. Now every deploy is a coin flip, your database is a single point of failure, and the architecture diagram on the wiki hasn't been accurate since 2023.
You need someone who's tracked these bottlenecks through Tier-1 banks and scale-ups, and knows exactly where they hide.
Architecture Signals That Something's Breaking
I've seen these patterns in every system that's outgrown its original design. If more than two sound familiar, your architecture is actively holding you back.
Monolith Bottlenecks
Every team's changes land in the same deployment pipeline. One bad merge blocks everyone. Your 'microservices migration' has been on the roadmap for two years, but nobody wants to be the one to start cutting.
Scaling by Praying
Traffic spikes hit and you throw more instances at it. No auto-scaling, no circuit breakers, no backpressure. Your infrastructure bill grows linearly while your revenue doesn't.
Coupling Nightmares
Change one service and three others break. Your 'independent' microservices share a database, have circular dependencies, and nobody can draw the actual dependency graph from memory.
No Observability
When something breaks at 3 AM, your first move is checking Slack to see if anyone else noticed. No distributed tracing, no meaningful alerts, no runbooks. Just gut feel and grep.
Nose to the Ground, Tracking the Right Architecture
Multi-Region, Event-Driven, Battle-Tested
I don't redesign your architecture on a whiteboard and hand you a PDF. I embed with your team, understand your actual constraints, not the theoretical ones, and build the migration path that your engineers can actually follow.
15 years inside systems that process millions of transactions daily: Kafka-based event pipelines, multi-region AWS deployments, Kubernetes orchestration for teams that need to ship daily without fear. I've tracked these problems before and I know their scent.
When I leave, your team doesn't inherit a dependency — they inherit an architecture they understand and can evolve.
- Tracking the Bottlenecks: Honest evaluation of what's working, what's breaking, and the fastest path to stability
- Mapping the Migration Trail: Strangler fig patterns, domain decomposition, incremental extraction. No big-bang rewrites
- Hands-On Implementation: I write production code alongside your team. Event sourcing, CQRS, distributed systems done right.
- Observability & Resilience: Distributed tracing, circuit breakers, chaos engineering. Know what's happening before your users do.
Architecture Health Signals
Where does your architecture sit today? These six signals tell me, and you, exactly how healthy your system is and where to focus first.
Deploy Independence
Can teams ship without coordinating?
Data Isolation
Do services own their data?
Failure Isolation
Does one failure cascade everywhere?
Observability Coverage
Can you trace a request end-to-end?
Scaling Linearity
Does scaling cost match scaling need?
Documentation Currency
Does the architecture diagram match reality?
Picture This
Your services deploy independently. Teams ship features without coordination meetings. The database that used to be everyone's bottleneck? It's been decomposed into bounded contexts that your engineers actually understand.
Traffic spikes auto-scale. Failures are isolated. Your architecture diagram is current because it matches reality, not because someone updated Confluence.
Companies That Grew Through The Breaking Point
Real companies, real pressure, real results. Here's what happened when they brought me in during their scaling challenges.
10x Scale During Hypergrowth
The company was growing fast—too fast for their architecture. I led the redesign of core systems, migrated to managed cloud services, and introduced TDD practices. Four-year engagement that took them from scrappy startup to enterprise-grade platform.
Multi-Region Payment Gateway
Built payment gateway microservices with multi-region availability. Kafka-based event-driven architecture for asynchronous payment monitoring and reconciliation across three AWS regions. 99.99% uptime under heavy transaction load.
"We hired Szymon twice. The first time he modernized our codebase and introduced real engineering practices. The second time we handed him the keys to rearchitect everything. The platform he built handles 10x what the old one could, and it's the core of our business now." — CEO, Hospitality Payments Platform
Why This Works When the Architecture Trail Goes Cold
Why Not Big Consultancies?
- They send a team of graduates with a framework. You get beautiful diagrams, a 200-page report, and zero production code. The trail goes cold the moment the engagement ends.
- I write production code daily. My architecture decisions come with working implementations, not slide decks.
Why Not Just Hire?
- Hiring a senior architect takes 6+ months. By the time they're ramped up, your system has broken in three new ways nobody documented.
- I'm tracking real problems within two weeks. When I leave, your team has the skills and the documentation to keep evolving the architecture.
Let's Redesign the Trail
Your architecture won't fix itself while you're hiring. Let's spend 30 minutes mapping the terrain. I'll tell you where the bottlenecks hide and whether I'm the right hunting partner.
Prefer email? contact@grupavii.eu