Principal Generalist Engineer

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Moniepoint Inc. (Formerly TeamApt Inc.)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💳 Fintech

🏦 Banking

Fintech • Banking • Payments

Moniepoint Inc. is Africa's all-in-one financial ecosystem that provides seamless solutions in payments, banking, credit, and business management for over 10 million businesses and individuals. Operating as Nigeria's largest merchant acquirer, Moniepoint powers the majority of Point of Sale (POS) transactions in the country. The company processes $17 billion monthly while ensuring profitable operations. With operations starting in 2019, Moniepoint continues to support businesses through its comprehensive financial services platform, making significant strides in financial inclusion across emerging markets.

📋 Description

• Design and build reliable, scalable, observable production-grade systems • Own systems end-to-end from problem definition through design, data, implementation, deployment, and operations • Work across application services, distributed systems, infrastructure, data pipelines, and ML systems • Debug complex production issues across multiple layers • Make engineering trade-offs using first principles • Improve performance, latency, reliability, and cost efficiency • Contribute to architecture and technical direction • Write maintainable code and documentation • Raise the engineering bar • Frame when to use ML versus 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 • Deliver working production systems from ambiguous problems • Reduce complexity and establish trust in technical judgment

🎯 Requirements

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

🏖️ Benefits

• People-first culture focused on well-being, respect, inclusion, and employee voice • Learning and development environment • Knowledge sharing, training, and regular internal technical talks • Attractive salary • Pension • Health insurance • Paid leave • Other benefits