African fintechs operate on trust, credibility and scale. Behind every successful payment, transfer, or integration are engineers who ensure the system works seamlessly under pressure. Taiwo Bukola is one such engineer.
Taiwo, a senior software engineer at TeamApt, a subsidiary of Moniepoint Incorporated, works on backend payment systems that power everyday financial transactions for businesses and individuals across Africa. His path to engineering began in hands-on roles where he was a quick learner and errors had real consequences. Over time, his work in a regulated banking environment shaped his mindset around reliability, clarity, and resilience.
In this conversation, Taiwo shares his path into software engineering, how he designs large-scale systems in fintech, lessons learned from production failures, and advice for engineers building critical infrastructure in Africa’s rapidly growing digital economy.
What inspired you to go into engineering and how did that lead to your role at TeamApt?
I started as an analyst at e-commerce company Jumia, monitoring inventory levels and sales trends. Engineering impressed me during that time. Writing code gave us a direct way to solve problems and see results immediately.
That interest led to my first engineering role at Ecobank Software Center, where I interned and grew to associate engineer. From there, I made a conscious effort to work in an environment where engineering quality was important.
I worked more deeply into the banking system. Since the software handles actual financial activities, reliability is non-negotiable. Mistakes appear quickly. These experiences ultimately led me to TeamApt, where I have spent the past two years working on large-scale payment and integration systems development.
Can you describe a typical day or week in your role as a software engineer?
My day usually starts with a short check-in with my manager and teammates. Adjust priorities and unblock issues. Then plan your work and focus on building.
Most of my time is spent on backend engineering, designing services, working on integrations, reviewing pull requests, and solving operational issues. Because the system operates continuously, performance and reliability are always top considerations. Before the day ends, I send out updates so the team knows what’s moving forward and what still needs attention.
Technically, what kind of system are you working on?
I mainly work on payment flows and internal platforms. This includes backend services to process high volume transactions, integration with banks and third-party systems, and tools to monitor failures, delays, and system health.
How do you think about designing large-scale systems in fintech?
Scaling starts with assumptions. We assume that the system will fail. Assume that your traffic spikes. I’m assuming that dependencies are slow to respond. Or not at all.
In fintech, retries occur. This will result in duplicate requests. The background job will be resumed. Therefore, your API should always behave predictably. Services should be loosely coupled so that failure of one does not bring down all others. This approach ensures that the system is available in the event of an incident and is easier to scale over time.
What engineering principles guide you when building your system?
Clarity, reliability, observability, and scalability.
Code should be self-readable. The system must fail safely. The logs and metrics should tell you what happened. Growth doesn’t require constant rewriting. I try to focus on services, clarify responsibilities, and keep the interface predictable. When something breaks, answers should come quickly.
How do you handle incidents and production issues?
First of all, please calm down. Panic will make the situation even worse. Then focus on the impact, who is affected, and what needs to be stopped immediately.
After recovery, record what happened. The goal is improvement, not condemnation. Fix root causes, add alerts, and improve tests. Incidents in production typically reveal gaps worth filling.
What are some technical mistakes that engineers make early in their careers?
Ignoring edge cases, premature over-engineering, and under-engineering the critical path.
Many people focus only on the happy path. Problems occur in real systems, and timeouts, retries, partial writes, and data inconsistencies cause most problems. Skipping documents is also a problem. Even short notes can be helpful for you in the future.
What skills have helped you grow beyond just creating features?
Read logs, debug operational issues, and understand how data flows through your system. In full-length works, you will learn syntax. Production jobs teach engineering. Once you see that the system is less loaded, your decision changes.
How do you approach code reviews?
I look for clarity first. Will anyone be able to figure this out within six months? Does the code fail safely? Are edge cases handled?
Style is more important than intent. Clear intent makes refactoring easier. Code reviews are also a way for teams to share context and align to standards.
What role does testing play in your work?
Testing protects behavior. I focus on critical path testing. Payment initiation, state transitions, retry logic, and failure handling.
Not everything requires detailed testing. This is the part that moves money.
What do you think about the security of the financial system?
Security starts with design. Restrict access, validate input, and carefully record sensitive actions.
Always assume someone is going to try to break the system. This assumption shapes how we build.
How do you unpack after a nasty bug or a tight deadline?
I’m leaving. Sometimes we eat and take a short walk around the grounds. You might call a friend, take a nap, watch a TV series, or play a console game. Stepping away allows your brain to reset.
What emerging technologies and trends are you paying attention to?
artificial intelligence. The way engineers work is already changing, but the bigger changes are happening outside of traditional engineer roles.
Fashion, music, manufacturing, medicine, and education now rely directly on software. Engineers need to understand how these changes will impact real users.
What advice would you give to aspiring software engineers?
Focus on the basics. Understand data structures, basic network processes, and how system failures work. Be patient and learn. Strong fundamentals make complex systems easier to reason about later.
If you could work on any project in the world without limits, what would it be?
education. I would like to work on simulation-based training for healthcare and engineering. Realistic practice improves learning and decision-making.
We will also focus on AI literacy. Many non-tech professionals need clear guidance on using AI in their daily work. AI goes beyond ChatGPT.
What advice would you give to developers for building large-scale systems?
Think early about scale. Architecture matters. Folder structure and tools are important.
Ignoring these early will result in technical debt. Write things down. Track technical debt. Schedule dependency upgrades. Avoid systems that are reluctant to maintain.
If you could have dinner with any engineer or technology leader, who would it be and why?
I’m interested in people building large systems. Netflix’s Elizabeth Stone, Mark Zuckerberg, and the team behind GitHub.
These impact the way millions of developers build and ship software. I’d like to understand how they think about scale and long-term system growth.
I also respect Apple. A focus on user experience shows discipline. You want to understand how your team maintains that level of quality over time.
What should engineers focus on other than writing code?
Adaptability. Technology advances quickly. Judgment is required to determine what is important and what is not.
How do you incorporate new tools and ideas?
We carefully select information. Who you follow matters. What you ignore matters. This keeps the signal clear.
What resources would you recommend for aspiring software engineers?
Clean Code by Robert C. Martin
The Pragmatic Programmer by Andrew Hunt and David Thomas
Both focus on habits. And habits form long careers.
Looking ahead, what does the future of fintech in Africa look like?
Fintech in Africa will continue to evolve rapidly, but the next stage will be about depth, not just speed. There will be less experimentation and more infrastructure that must be sustained. A system that is reliable, compliant, and sustainably scalable across borders.
I think payments will become more invisible and integrated directly into everyday products and services. The real job for engineers is to build resilient systems behind the scenes, where users don’t even need to be aware. There will also be stronger collaboration between fintechs, banks and regulators, further raising engineering standards.
For African engineers, this future is an opportunity. We don’t just build for local use; we build globally competitive systems designed from the ground up to handle scale, complexity, and reliability.
As Africa’s fintech ecosystem continues to expand, engineers like Taiwo Bukola are playing a critical role in building systems that are not only fast, but also reliable and resilient. his journey. From analytics to banking systems to large-scale payments. It emphasizes the importance of fundamentals, thoughtful system design, and calm decision-making under pressure.
Taiwo’s perspective reminds us that beyond the code, good engineering is a responsibility to our users, our teams, and the systems that millions of people depend on every day.
