Zion Ajibodu
When Trove Finance crossed 1 billion Naira in trades, it was a milestone worth celebrating. It was also a warning sign. The same rapid growth that validated the product was putting the infrastructure holding it together under pressure it wasn't designed to handle.
Trove makes it possible for anyone in Africa to invest in American, Chinese, and Nigerian stocks, bonds, and ETFs. That proposition — accessible cross-border investing from a mobile app — had found real traction. Downloads were up. Usage was climbing. And the backend, built for an earlier, smaller version of the product, was beginning to show the stress.
This is the story of how Trove's co-founders, Austin and Ope, decided to solve it — and why hiring a Gigson backend engineer was the decision that made the infrastructure overhaul possible.
The problem: growth that outpaced the original architecture
Trove's engineering challenge was a common one in high-growth fintech: the codebase that got you to traction is rarely the codebase that takes you to scale. The patterns that work at 10,000 users create bottlenecks at 100,000. The concurrency model that handles a few hundred simultaneous trades becomes a liability when millions of trades are happening daily.
For Trove, the stakes were particularly high. This wasn't a content platform where slowness means a frustrated user who closes a tab. This was a financial application where reliability, security, and transaction integrity are non-negotiable. A failed trade, a data inconsistency, or a security gap carries consequences that go well beyond a poor user experience.
Ope, Trove's CTO and co-founder, had a clear picture of what needed to happen. The backend needed to be rebuilt — not patched, not refactored at the margins, but rebuilt from the ground up with a new architecture designed for the load they were now carrying and the load they expected to carry next.
That's a specific and demanding brief. A developer who can only maintain existing code isn't enough. A developer who can only greenfield new systems isn't enough. Trove needed someone who could do both, in parallel, under the pressure of a live product with real users and real money.
Why Trove hired through Gigson
The other constraint was time and circumstance. This was during the COVID-19 pandemic, which meant the hire had to be entirely remote — from sourcing through onboarding through integration into the team. There was no option to bring someone into an office, no in-person whiteboard session, no casual hallway calibration on technical culture.
Austin and Ope reached out to Gigson's recruitment lead with the brief. Gigson works from a pool of 22,000+ developers who have passed the Devcenter technical assessment — a process that only the top 4% of applicants clear. The talent pool is specifically African, which meant the timezone alignment that makes remote collaboration actually work: West African Time (UTC+1) overlaps with London mornings and New York afternoons, giving Trove's team real hours of synchronous contact with whoever they hired.
Within a short period of receiving the brief, Ope had selected a developer. The entire process — from initial contact to hire decision — happened faster than a conventional recruitment process would have moved through its first interview round.
“We achieved a fully remote developer hire, onboarding, and integration to the Trove team in a matter of weeks.”
Gigson — Trove Finance case study
What the onboarding actually looked like
Remote onboarding for a senior engineering role on a live fintech product is not a simple process. There is no equivalent of sitting next to someone for a week while they absorb the codebase, the team's patterns, and the unwritten conventions that live in experienced engineers' heads rather than documentation.
Gigson's talent success manager was embedded in the process from the start. The early weeks were candid about their difficulty: the Trove team was simultaneously dealing with existing product problems while trying to get a new developer oriented. Communication needed active management, not just good intentions.
The talent success manager implemented specific strategies to improve the communication flow between the new developer and the Trove engineering team. As those channels stabilised, the developer moved from orientation to full capacity — able to take ownership of workstreams rather than just executing tasks handed to them.
The technical strategy: building the new while maintaining the old
With the developer integrated and operating at full capacity, Ope moved forward with the new technical strategy. The goal was a rock-solid application capable of handling the millions of trades now flowing through the Trove platform daily — with the security posture and concurrency model to support continued growth.
High concurrency and transaction integrity
The core challenge in fintech infrastructure scaling is not simply handling more requests. It's handling more requests correctly — without race conditions on trade execution, without inconsistencies in account state, without the kinds of edge cases that only appear under real load and that have real financial consequences when they do.
Building for high concurrency in a financial context means making deliberate choices at the architecture level: how state is managed, how transactions are isolated, how failures are handled and recovered from. These aren't decisions that can be bolted on after the fact. They have to be designed in from the start, which is why a rebuild — rather than a refactor — was the right call.
Security and the constraints of a cross-border financial platform
Trove operates across multiple markets: Nigerian investors accessing US, Chinese, and Nigerian exchanges. That cross-border context adds a layer of security and compliance complexity that doesn't exist for single-market platforms. Data residency considerations, regulatory requirements across jurisdictions, and the security standards expected of a platform handling real investment capital all had to be built into the new architecture.
The developer hired through Gigson had to be capable of working within those constraints — not just writing performant code, but writing secure, defensible code that could operate in a regulated financial environment.
New features alongside the rebuild
Trove wasn't pausing product development to do the infrastructure work. The rebuild happened in parallel with continued feature development — incorporating requests from users and integration requirements from partners. That dual track is what made the "versatile enough to support the existing codebase while building a new one" brief so demanding: the developer was shipping features on the existing system while constructing its replacement.
The outcome: infrastructure capable of 10× the previous transaction volume
The new backend architecture gave Trove the foundation to handle transaction volumes at 10 times the scale of the original system. For a micro-investing platform where growth is the point — where the entire business model depends on being able to absorb more users, more trades, more data without degrading the experience or the integrity of the transactions — that headroom is not a vanity metric. It's the thing that makes continued growth possible rather than dangerous.
What this means for fintech teams considering a similar hire
The Trove case study is useful not just as a proof point but as a template for thinking about a specific type of fintech engineering challenge.
The pattern looks like this: a fintech product reaches a growth inflection. The existing infrastructure, built for an earlier version of the product, starts showing strain. The founding team or CTO can see exactly what needs to happen technically, but doesn't have the engineering capacity to execute it — particularly if the team is already occupied keeping the current system running and continuing to ship features.
The answer is an additional senior engineer with the specific background to work in a fintech environment: someone who understands high-concurrency systems, who takes security seriously as a design concern rather than a checklist item, and who can hold the context of both the existing codebase and the new architecture simultaneously.
That profile is hard to find quickly through conventional hiring. Gigson's model — a pre-vetted pool of engineers who've cleared a rigorous technical assessment, matched by a talent manager who understands the brief at a technical level — is specifically designed for this kind of time-sensitive, high-stakes engineering hire.
“Hiring a Gigson developer made it possible to advance to this new strategy and add new features from users and other partners.”
Trove Finance — on the infrastructure rebuild
A note on remote hiring for fintech roles
One aspect of the Trove case that's worth calling out explicitly: the entire hire was remote, and it worked. This matters because there's still a widespread assumption in fintech that senior engineering roles — particularly those touching financial infrastructure — require in-person presence, at least during onboarding.
The Trove experience challenges that assumption. The key wasn't proximity; it was active management of the remote onboarding process. Gigson's talent success manager playing an active role in bridging the communication gap during the early weeks was the difference between a remote hire that stalls in the integration phase and one that reaches full capacity.
For fintech teams in the US or UK considering African engineering talent, the timezone question also resolves better than most people assume. West African Time puts Nigerian engineers 4–5 hours ahead of London and 5–6 hours ahead of New York — which means the Lagos working day overlaps substantially with UK mornings and US East Coast afternoons. Daily standups, code reviews, and incident response are all viable in real time.
The broader context: African fintech engineers at scale
Trove is one of three fintech companies Gigson has placed engineers with who have verified outcomes. Riby, Nigeria's leading cooperative platform, hit 3× product development velocity within 60 days of placing two Gigson developers. Fint, an African credit and lending platform, hired through Gigson Performance to accelerate core product development.
What these cases share is a CTO or founding team who knew exactly what the engineering problem was, needed to move quickly, and needed confidence that the person they hired had been rigorously assessed — not just self-selected from a marketplace or CV-screened by a generalist recruiter.
The 40–60% cost differential between African engineer rates and US/UK equivalents at the same seniority level makes the economics compelling. But the Trove case demonstrates something more important: that the quality bar, properly vetted, is there. The outcome — a backend capable of 10× transaction volume — is not what you get from a compromised hire.
