Engineering Trust: From Identity Systems to Africa’s Fintech Infrastructure

Victor Nwauwa, QA Engineering Lead at Kora, on building reliability into systems that millions depend on

Behind every instant transaction sits a complex network of systems that must work reliably. For Victor Nwauwa, QA Engineering Lead at Kora, ensuring systems never fail at scale is the real work. Victor began his career leading QA on a SIM registration application at Seamfix, and later joined Kora early to build the QA department from the ground up, growing a team across the company’s full payments product suite. 

What first drew you to quality assurance engineering, and how did your journey into the field begin? 

I’ve always paid attention to detail and was drawn to understanding how systems behave under pressure. I noticed a gap where people focused on building features, but not enough on what happens when things go wrong. I quickly realized QA is about preventing failures before they happen and embedding that mindset into how a team builds. 

Early in your career, you worked at Seamfix. What kind of work were you involved in there? 

At Seamfix, I worked on a SIM registration application for telecommunication companies in Nigeria. My role covered the full testing lifecycle, including developing test plans, carrying out functional, regression, and performance tests, and building automation frameworks. This progressed into leading a team, where I learned to own quality at a program level. 

How did working on identity systems shape how you think about engineering and reliability?

Working on identity systems changed my perspective completely. When millions use a system for critical functions like KYC and identity verification, failure is unacceptable. You must design with failure in mind, testing beyond the happy path and preparing for unlikely edge cases in production. This instilled a discipline around scale and consistency. 

What were some of the most complex challenges you encountered at Seamfix? 

The biggest challenge was unpredictability. We dealt with diverse devices, unstable networks, and real-time verification across different environments. A system performing perfectly in a controlled environment often fails under poor network conditions or heavy concurrent load in the field. We focused on simulating real-world conditions through rigorous performance and regression tests. 

What motivated your transition into fintech at Kora? 

The move to Kora was a natural progression, as identity and payment systems share fundamental requirements for trust, reliability, and real-time performance. I joined Kora early when there was no QA department. The opportunity to develop the department from the ground up, establishing processes, defining standards, and growing a team, was what motivated me. 

For readers who may not understand digital payments, what happens behind the scenes when someone makes a payment online? 

Within seconds, the payment gateway processes the request, the bank verifies the account, fraud detection systems run checks, and the transaction is confirmed or declined. Kora’s product suite spans Payins, Payouts, Settlements, Virtual Cards, Virtual Bank Accounts, and Identity Verification. As much as each product is an independent layer, some services are interdependent, and if one part fails, some parts of the transaction cycle can be affected, which is why testing every layer is critical.

What are the biggest reliability challenges fintech companies face as they scale? 

Scaling across multiple markets is a significant challenge because each country has different banking infrastructure, regulatory requirements, and network conditions. Cross-border payment complexity and regulatory fragmentation across African markets are constant realities. Testing strategies must adapt to the real operating environment, accounting for infrastructure gaps, varying banking rails, and inconsistent settlement cycles. 

Quality assurance is often underestimated. Why is it such a critical discipline? 

QA is critical because it protects the system before it reaches users. Without it, issues surface in production, causing failed transactions, lost revenue, and eroded trust. QA should not be a bottleneck, but a reliability requirement and competitive advantage. In the African fintech market, where user trust is paramount, reliability is not optional. 

How does strong quality engineering impact user trust? 

Trust is built on consistency; users expect systems to work every time. Repeated failures cause users to lose confidence and leave the platform, posing an existential risk where digital financial services are still building credibility. Strong QA ensures the daily reliability that earns trust. 

Can you share an example of how proactive testing prevents failures? 

Automated regression testing is a prime example. When new features are introduced, there’s a risk of breaking upstream flows. From my experience, running automated tests continuously in your CI/CD pipeline ensures regressions are caught before they reach production, preventing disruptions to core payment flows like failed transactions or incorrect conversions. The cost of prevention is far less than the cost of live failures.

You mentioned building the QA department at Kora from scratch. What did that involve? 

It involved starting with nothing and making deliberate decisions: defining testing standards, documentation frameworks, and how QA interfaces with product and engineering teams. I selected a tooling stack covering test management, cross-browser infrastructure, an automation framework, and AI-assisted workflows. Beyond hiring, it required coaching the team that quality is a mindset, not just a checklist. 

Africa’s fintech ecosystem is growing rapidly. What excites you most about this growth? 

The scale of the opportunity is exciting, as more people are accessing transformative digital financial services for the first time. As an engineer, I’m excited that the infrastructure is still being built, allowing us to design systems that are reliable and inclusive for African markets. 

Victor Nwauwa

What challenges still need to be solved for African fintech to scale globally? 

Infrastructure gaps and regulatory fragmentation are the most pressing challenges. Cross-border complexity, settlement timelines, currency volatility, and inconsistent financial system integrations create engineering challenges requiring customized solutions. Furthermore, the demand for skilled QA and reliability engineers is outpacing supply, necessitating investment in developing local engineering talent. 

How do you see quality engineering evolving? 

AI is reshaping the discipline with tools for test generation, anomaly detection, and coverage analysis. However, the role of the QA engineer evolves rather than diminishes. The work shifts toward orchestrating AI-assisted workflows, interpreting results, and keeping the judgment layer( understanding the real user impact of a failure) human. Analytical thinking becomes more important.

What skills should engineers entering QA focus on today? 

Engineers should learn system architecture to understand where consequential failures happen: at the boundaries between services. They must develop strong automation skills, get comfortable with AI tools and performance testing, and learn to think about failure systematically (why it breaks and its downstream impact). 

What advice would you give someone building a career in Africa’s tech ecosystem? 

Focus on solving real problems, as the market rewards engineers who understand operational realities like network conditions and infrastructure constraints. Build practical skills, contribute to the conversation, and learn to use AI to optimize workflows. The demand for engineers who can build and maintain reliable systems is strong and growing. 

If there is one thing people should understand about QA engineers, what would it be? 

Good QA is invisible. When systems work smoothly, payments go through, services respond without incident, it is because someone designed, tested, and prepared for failure behind the scenes. 

That invisibility means the work was done well.

See also: Is ‘Prompt Engineering’ a real job or another gig economy trap?

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