
Job Overview
Location
Remote, Spain
Job Type
Full-time
Category
Software Engineering
Date Posted
June 22, 2026
Full Job Description
đź“‹ Description
- • Design and build production-grade systems that are reliable, scalable, and observable, owning them end-to-end from problem identification to deployment and operations.
- • Work across application services, distributed systems, infrastructure, data pipelines, and ML systems to deliver complete solutions, not just components.
- • Debug complex production issues across multiple layers, applying first-principles thinking and deep technical judgment to resolve systemic failures.
- • Make engineering trade-offs grounded in first principles, prioritizing simplicity, reliability, performance, and cost efficiency over unnecessary complexity.
- • Contribute to architectural decisions and technical direction, ensuring systems are maintainable, observable, and aligned with long-term business goals.
- • Write clean, maintainable code and comprehensive documentation to support team scalability and knowledge sharing.
- • Frame problems correctly by determining when to use machine learning versus deterministic systems, and avoid defaulting to ML as a solution.
- • Work end-to-end with data: from ingestion and transformation to model training, evaluation, iteration, and deployment of ML models.
- • Build reproducible ML pipelines and monitor model performance, drift, and operational cost in production.
- • Debug failures that span both software systems and machine learning models, ensuring robustness across hybrid architectures.
- • Improve system performance, latency, reliability, and cost efficiency through targeted optimizations and infrastructure improvements.
- • Raise the engineering bar by promoting robust design thinking, clear communication, and a culture of ownership and technical excellence.
- • Operate across multiple programming languages including Go, Java, Python, Rust, and SQL to implement and maintain systems effectively.
- • Utilize Linux, containers, and Kubernetes in day-to-day infrastructure management and deployment workflows.
- • Apply strong understanding of distributed systems, networking, operating systems, and data structures and algorithms to solve real-world engineering challenges.
- • Reason using invariants and failure modes to anticipate and prevent system breakdowns under load or unexpected conditions.
- • Engage with streaming systems, data systems, and ML infrastructure to enhance platform capabilities and operational resilience.
🎯 Requirements
- • Strong CS fundamentals (DSA, OS, networking, distributed systems)
- • Solid probability and statistics knowledge
- • 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
🏖️ Benefits
- • Culture - Prioritization of team well-being, inclusive environment, and mutual respect
- • Learning - Learning and development-focused environment with knowledge sharing, training, and internal technical talks
- • Compensation - Attractive salary, pension, health insurance, and paid leave
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Moniepoint Inc.
Moniepoint Inc. operates Nigeria’s largest agent banking network and a rapidly-growing business banking platform that provides current accounts, debit cards, POS terminals, credit and payment processing to over one million businesses. Originally launched in 2015 by TeamApt as a fintech infrastructure provider, the company became a CBN-licensed microfinance bank, rebranded to Moniepoint in 2022, and now processes more than USD 12 billion monthly while extending financial services to underserved merchants and consumers across Nigeria.
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