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Senior Backend Engineer - Asset Sales

M-KOPA
Ireland, Portugal, Spain, United KingdomremoteEnglish3d ago
azurebackendc#devopskafkakubernetesrabbitmqsales

Join our expanding engineering team! We're hiring a permanent Senior Backend Engineer to join our Asset Sales group as we scale one of the most important parts of M-KOPA 's FinTech platform. Build distributed, event-driven microservices and help shape what AI-native engineering looks like at M-KOPA . The Impact 💚 Your code will directly power the systems that put smartphones and e-motorbikes into the hands of Every Day Earners across Africa. We've already helped over 10 million customers access more than $2 billion in credit. It's your chance to be part of something that's literally transforming lives across an entire continent 🌍 The Opportunity 🎯 Mission-driven engineering : Every service you build helps expand financial inclusion for under-banked populations 🏆 Global recognition : Join a company named by the Financial Times as one of Africa's fastest-growing companies for five consecutive years (2022–2026) 🚀 Scale challenges : Build backend systems serving millions across multiple African markets 🤖 AI-native from day one : We're actively embracing AI as part of the engineering craft, not bolting it on 🌍 Fully distributed : Work remotely with diverse teams across UK, Europe, and Africa What You'll Do At M-KOPA , you'll build and operate distributed C# and .NET microservices on Azure, working within an event-driven architecture at significant scale. This is an outcomes-driven role: we care far more about the value you create than where you sit or how many hours you're online. You'll own what you build end-to-end — from idea, through implementation and deployment, into production and iteration. Technical Environment 💻 Modern C# stack : Distributed C# and .NET microservices Cloud & orchestration : Hosted on Azure using Kubernetes Architecture : Event-driven, supporting products used at significant scale Observability : Grafana, Azure Application Insights, logs, traces, and metrics AI tooling : Claude and other AI tools used throughout the engineering workflow — design exploration, code generation and review, test writing, incident investigation, and technical communication Our Engineering Approach 🚀 AI-native engineering : We want engineers who tinker — experimenting with new tools, agents, and workflows, and sharing what works Guardrails as we accelerate : Automated tests, SLOs, alerting, observability, and deployment safeguards around everything we ship Own it beyond the pull request : Design for idempotency, retries, out-of-order events, and failure...

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