Principal Generalist Engineer

🕒 August 3

🇵🇱 Poland – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 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

🎯 Requirements

• 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

🏖️ Benefits

• 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.