Skills this job asks for
MicroservicesC#AzureKubernetesKafka
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- Employer is on a government sponsor record
- This employer holds a UK sponsor licence (Skilled Worker, A rating). Source: Register of licensed sponsors (UK Home Office).
- Can’t check pay against the visa rules
- No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
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About the role
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 modes, and know how your services behave in production
• The Campfire Rule : Leave the systems you touch a little better than you found them
• On-call as feedback, not heroics : Engineers who build our systems also help operate them, using incidents to make the platform more resilient
What You Need
We're looking for a senior engineer who's curious, autonomous, and highly trusted. You're comfortable owning the entire software stack — including supporting infrastructure — throughout its lifecycle, and you see production data, not just deployment, as the real measure of "done."
Required Experience:
• Strong grasp of C# and .NET development
• Experience with event-driven systems - We use Azure Service Bus, but would love to hear from you if you have experience with similar messaging technology (Kafka, RabbitMQ, etc.)
• Microservices architecture experience, ideally on Azure and Kubernetes
• Experience using observability tooling (e.g. Grafana, Application Insights) to understand production behaviour
• Comfort using AI tools as part of a daily engineering workflow (design, code review, testing, incident investigation)
• DevOps culture mindset, including on-call/production ownership
• Proven ability to collaborate effectively in distributed tea
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