Invental/ Experts/ By domain and stack
By domain and stackInvental network

Fintech and payments architecture review

Money code fails in quiet ways: a retried request that charges twice, a ledger that drifts from the provider, a dispute nobody answered in time. Reviewers here have designed payment platforms, run dispute and chargeback systems and reviewed event-driven lending backends, and they read your design and code with those failure modes in mind.

05 · experts matched 68 cases across their profiles Contracted through Invental Request a review ↗
Lead matches
Arch. review · Arch. design · Due diligence · Vibe-code rescue · Mentoring

Fintech and payments platform CTO

Best for: fintech and marketplace startups · scale-ups re-planning their backend · corporate teams that need a system-design owner · founders inheriting a codebase from a departed team.

View profile →
Lead match · 01 executive / CTO-level
Code review · Arch. review · Arch. design · Due diligence · Vibe-code rescue

PHP/Symfony backend and database-design specialist for payments

Best for: seed startup · scale-up · fintech / payments teams · corporate teams running PHP products.

View profile →
Lead match · 02 senior backend engineer
— Also matched for this
senior / lead backend engineer

High-load backend lead for payments and consumer platforms

Best for: seed startup · scale-up · corporate innovation team (especially teams where non-engineers ship with AI tools).

Code review, Arch. review +4View profile →
senior individual contributor

Fintech-backend reviewer (Java/Spring, event-driven payments)

Best for: seed and Series A fintech startups · scale-ups with a Java or Node backend that need a second senior reviewer · teams cleaning up AI-assisted code.

Code review, Vibe-code rescue +1View profile →
mid-level engineer

Hands-on engineer for concurrency, transactional correctness and real-time 3D

Best for: seed startup · scale-up teams with junior and mid-level developers · game and 3D studios.

Code review, Arch. review +2View profile →

From the network

Selected cases from these experts’ profiles.

Payment system redesign for startups

A startup's first payment flow didn't hold up as the product grew. One of our experts, acting as CIO/CTO, led the payment system redesign as part of their system-design work across several startups, all of whose products were delivered on schedule.

Track record · startups (e-commerce, dating, social) · early-stageJava, PostgreSQL, Redis (startup-specific)

From minimal MVP to a production chargeback-prevention system in under three months

A chargeback-prevention service existed only as a minimal MVP and needed to reach the market quickly.

One of our experts turned it into a scalable, production-ready system: backend architecture, integrations, admin and client interfaces, monitoring and tests.

Outcome

A full production system in under three months, ready for launch.

Track record · fintech (chargeback prevention for merchants) · early-stagePHP 8, Symfony, MySQL / PostgreSQL, Redis, RabbitMQ, AWS

Dispute automation with card-network dispute alert services

Merchants were handling disputes and fraud cases by hand, and every missed alert could become a chargeback.

One of our experts integrated several card-network dispute alert services, covering alerts, rapid pre-dispute resolution, compelling-evidence submission and order-detail sharing, into the product's dispute workflow.

Outcome

Less manual work and faster fraud and dispute resolution for merchants.

Track record · fintech (chargeback prevention) · early-stagePHP, Symfony, REST / webhook integrations, queues

Proprietary payment services next to highly available third-party gateways

A platform with more than a million monthly users needed in-app payments that kept working when an external provider had a bad day.

One of our experts built the platform's own payment services and integrated third-party payment gateways in a high-availability setup.

Outcome

Payments ran through services the team owned, with external gateways set up so that one failing provider did not stop revenue.

Track record · consumer gaming platform · scale-upKotlin, Spring, PostgreSQL, Kafka, JWT

How we'd review a Kafka or SQS consumer before it touches money

A startup is adding an event consumer that moves or records money. This engineer would review it for idempotency, retry and dead-letter handling, ordering assumptions and reconciliation hooks.

You get

A PR review with concrete fixes and the test cases still missing.

Bookable · PR/MR code reviewJava/Spring or Node, Kafka or SQS

Reviewing a card-authorization flow

A team builds or extends a card-authorization path (ISO 8583 messages, fraud rules, issuer calls). The reviewer has hands-on experience with this kind of flow and checks connection handling under concurrency, that card numbers never reach logs or plain columns, fraud thresholds that change without redeploys, and response codes that match the spec.

You get

An annotated PR review with prioritized fixes.

Bookable · PR/MR code reviewC++ / .NET / Go, PostgreSQL, ISO 8583

Questions buyers ask

What are the most common mistakes in a startup payment system?+
Missing idempotency on payment calls, balances computed on the fly instead of kept in a ledger, no reconciliation against the payment provider, and webhooks handled without retries or ordering. Each one is cheap to fix early and expensive after the first incident.
Can you review only the payments part of a larger codebase?+
Yes. A payments review can be scoped to the money paths: checkout, the ledger, provider integrations, webhooks, refunds and disputes. That keeps it short and focused on what can lose money.
What should a startup check before building its own payment system?+
Which flows it really needs to own (wallets, payouts, reconciliation) versus buy from a provider, how money states are modelled and audited, and how failures and retries are handled. An expert in the Invental network has designed payment systems at the technology arm of a major bank and redesigned them for several startups.
What should you check first when reviewing a database schema?+
Whether the schema follows the business model and the queries the product will actually run. A backend engineer in our network designs schemas up front from the data and the expected queries, and has restructured schemas on several platforms to speed up queries and reduce load.

How it works

  1. Tell us what you need — the repo or system, the question, and the deadline.
  2. We match an expert from the network, with a second reviewer where it helps.
  3. Scoped work, contracted through Invental — review per pull request, a fixed-scope audit or architecture review, or ongoing capacity.

— Invental · software studio · Montevideo, UY

Tell us what needs a look.

Describe the system and the question. We match a lead expert from this page, or a better fit from the network, and confirm scope before anything starts.

— Get in touch
hi@invental.co ↗
— Or
— What to include

A link or short description of the code or system, what you want checked, your stack, and when you need the answer. No repository access is needed until scope is agreed.

— Or leave a note
We reply within one business day.