Generalist Engineer - R&D

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. It is Nigeria’s largest merchant acquirer, processing over $250 billion in digital payment transaction value annually.

• Strong computer science fundamentals including data structures and algorithms, operating systems, networking, and distributed systems.
• Solid knowledge of probability and statistics.
• Experience building production systems at scale.
• Ability to work across programming languages including Go, Java, Python, Rust, and SQL.
• Understanding of system behavior under load and failure scenarios.
• Comfort working with Linux, containers, and Kubernetes.
• Strong debugging skills.
• Ability to reason using invariants and failure modes.
• Experience with data systems, streaming systems, machine learning infrastructure, and performance optimization.

• 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 and model failures.

Moniepoint is an equal opportunity employer committed to diversity and inclusion.