Architecture decisions
I help frame monolith vs. services, domain boundaries, data modelling, API design, and operational tradeoffs in business terms.
Led by Mathias Onea
Senior Laravel and Software Engineering ConsultantSoftware engineering consultant
I help teams make technical decisions they cannot afford to keep revisiting: architecture, rebuild-vs-refactor calls, platform risk, delivery bottlenecks, and technical leadership gaps. The work ends in decisions, priorities, and implementation steps your team can use.
01
This is for teams that need senior technical judgement from someone who can understand the system, challenge assumptions, explain tradeoffs, and turn uncertainty into a practical plan engineers can execute.
The value of consulting is not another abstract architecture opinion. The value is making the next technical decision clearer, safer, and easier to explain to the people who fund, build, and maintain the system.
I help frame monolith vs. services, domain boundaries, data modelling, API design, and operational tradeoffs in business terms.
I identify the parts of the system that threaten delivery, reliability, maintainability, or future product work.
Your CTO, founder, or lead engineer gets a direct technical counterpart for high-stakes decisions.
Recommendations account for team size, deadlines, codebase history, existing knowledge, and what can realistically ship.
02
Hire a software engineering consultant before a technical decision becomes expensive to reverse. Common triggers are slow delivery, fragile code, unclear ownership, risky migrations, architecture disputes, or a roadmap blocked by platform uncertainty.
The best timing is usually earlier than teams think. If engineers avoid parts of the codebase, planning depends on guesses, or every feature requires too much coordination, you are already paying for unclear architecture.
03
Your team gets actionable outputs: a written assessment, prioritized risks, architecture recommendations, rebuild-vs-refactor guidance, implementation sequencing, and direct discussion of tradeoffs. The result should make the next technical move easier.
A clear explanation of the recommendation, tradeoffs, assumptions, and consequences so the team can align.
A prioritized view of which technical issues affect delivery now and which can be carried deliberately.
Practical sequencing for refactors, migrations, audits, platform cleanup, or the first slice of a rebuild.
Ongoing technical judgement for CTOs, founders, and teams that need senior accountability without a full-time hire.
SaaS architecture
Greenfield SaaS product work around domain modelling, multi-tenancy, API boundaries, Laravel, Vue, PostgreSQL, Redis, and product delivery.
Performance and crawlability
High-traffic content and voucher platform work involving performance architecture, structured data, content pipelines, crawlability, and fast page delivery.
Performance, SEO, and brand presence
Marketing website for a tax advisory firm in Vienna with performance-conscious frontend delivery, clear information architecture, and SEO-friendly service and office context pages.
Compliance-sensitive systems
Healthcare platform work around system design, access control architecture, maintainability, and cleaner separation of concerns.
04
Useful consulting proof comes from systems with real constraints: scale, maintainability, compliance, crawlability, deployment, and team ownership. The examples below show technical decisions made in product and platform contexts.
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I make architecture advice practical by tying every recommendation to delivery risk, business impact, team capacity, and implementation cost. If advice cannot survive the real constraints of the team, it is not useful advice.
Architecture choices are explained through cost, risk, delivery speed, maintenance, and future product flexibility.
I look for the first move that reduces uncertainty without forcing the team into an unnecessary rewrite.
A good system is one the team can explain, change, test, and operate without relying on one person.
Technical debt is not automatically bad. Unknown technical debt is the real problem because nobody can plan around it.
06
I compare delivery risk, defect patterns, domain clarity, test coverage, migration cost, and roadmap pressure. The right answer is the path with the lowest total risk, not the cleanest architecture diagram.
Many teams want a rewrite because the current system feels exhausting. Sometimes that is correct. More often, the better move is a controlled sequence of refactors, tests, boundary changes, and replacement slices that keep the business moving.
FAQ
In my engagements, I help with architecture decisions, codebase audits, platform risk, rebuild-vs-refactor choices, stack decisions, delivery bottlenecks, and fractional technical leadership. The work produces decisions and implementation steps, not only advice.
Software consultant cost depends on seniority, location, project risk, and whether the work is advisory, hands-on, or fractional leadership. A focused audit is usually priced differently from ongoing architecture support or implementation ownership.
A contractor usually executes a defined task. A consultant helps decide what should be done, what should not be done, and how to reduce technical risk. Some engagements include both consulting and hands-on implementation.
Yes. My primary stack is Laravel, Vue, TypeScript, Nuxt, and PHP, but architecture, technical leadership, system boundaries, and delivery risk apply across stacks. I will say early if the stack is outside my useful range.
They start with a focused conversation about the system, the team, the decision, and the business risk. From there, we choose an audit, retainer, fractional leadership model, or smaller first step.
Technical references