Moniepoint
Senior Backend Engineer (R&D)
Rol remoto de Backend Engineering con fit claro de ubicación del candidato.
Publicado4 jul 2026
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Nigeria
Resumen del rol
Senior Backend Engineer (R&D)
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
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 RoleFrame problems correctly: when to use ML vs deterministic systemsWork with data end-to-endTrain, evaluate, and iterate on modelsBuild reproducible pipelinesDeploy models and monitor performance, drift, and costDebug system + model failures
- 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
Details
- 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
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
- 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
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