A natural match if you have experience building end-to-end production systems and working across multiple technical domains.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Moniepoint via Greenhouse
Who we are
Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.
As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually.
About the role
We are hiring a senior Generalist Engineer for our Research & Development Team who can own problems end to end and deliver complete production systems, not just components. This is a broad, high-ownership role for an engineer who can operate across software, distributed systems, infrastructure, data, and, where useful, machine learning, moving from vague problem statements to clear designs, robust implementations, reliable deployment, and effective operation in production.
Success in this role requires strong first-principles thinking, sound technical judgment, deep debugging ability, and the willingness to work across boundaries to get the job done. We are looking for a true engineering generalist: someone who reduces complexity, improves reliability and performance, and treats ML as one tool among many rather than a default answer.
Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.
What You'll Be Doing
Design and build production-grade systems that are reliable, scalable, and observable.
Own systems end-to-end: problem → design → data → implementation → deployment → operations.
Work across application services, distributed systems, infrastructure, data pipelines, and ML systems
Debug complex production issues across multiple layers
Make engineering trade-offs grounded in first principles
Improve performance, latency, reliability, and cost efficiency
Contribute to architecture and technical direction
Write maintainable code and documentation
Raise the engineering bar
Machine Learning as Part of the Role
Frame problems correctly: when to use ML vs deterministic systems
Work with data end-to-end
Train, evaluate, and iterate on models
Build reproducible pipelines
Deploy models and monitor performance, drift, and cost
Debug system + model failures
What We're Looking For
Strong CS fundamentals (DSA, OS, networking, distributed systems)
Solid probability and statistics
Experience building production systems at scale
Ability to move across languages (Go, Java, Python, Rust, SQL)
Understanding of system behavior under load and failure
Comfort with Linux, containers, Kubernetes
Strong debugging skills
Ability to reason using invariants and failure modes
Data systems, streaming systems, ML infrastructure, performance optimization
What We Value
Ownership over problems
Simplicity over complexity
Curiosity about internals
Robust design thinking
Clear communication
What Success Looks Like
Deliver working production systems from ambiguous problems
Apply ML only when needed
Build reliable, scalable systems
Reduce complexity
Earn trust in technical judgment
If you are a builder, a systems thinker, and a technologist who loves exploring what’s next, we’d love to have you help shape the future of Moniepoint.
What we can offer you
Culture - We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
Compensation - You’ll receive an attractive salary, pension, health insurance, paid leave plus other benefits.
What to expect in the hiring process
Our interview process is designed to be thoughtful, transparent, and candidate-friendly, allowing you to showcase your strengths while getting to know us better:
Initial Conversation: A brief introductory call with our recruiter to learn more about your background, career goals, and to share insights about the role and our team.
Technical Assessment: A practical, take-home assessment follow by a discussion with an interviewer on a call.
System Design Interview: A focused session with our Engineering Team, where we'll explore system design, architecture, and problem-solving approaches.
Final Interview: A combined technical and behavioural conversation with a member of our Executive Team, aimed at understanding your alignment with our values, vision, and culture
Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.
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Source: Moniepoint careers (Greenhouse)