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Β© Fuzu Ltd

Finance & FinTech
Location
Contract Type
What You'll Do
At M-KOPA, you'll build sophisticated event-driven microservices with real-world impact. Our engineering teams own their solutions end-to-end β from architecture decisions to production monitoring. Join us in combining cutting-edge .NET development with purpose-driven engineering that makes digital and financial inclusion possible across Africa.
Technical Environment π»
Languages & frameworks: C#/.NET
Cloud: We work in Azure, and welcome experience across AWS or GCP
Architecture: Event-driven systems and microservice development β we use Service Bus, and welcome experience with similar messaging technologies such as Kafka or RabbitMQ
Infrastructure: Kubernetes, Docker
Observability: Prometheus, Grafana
Engineering culture: DevOps, infrastructure as code, automated testing across all environments including production, continuous delivery
AI tooling: We use AI coding tools including Claude Code as part of our engineering workflow
Our Engineering Approach π
As an engineer, you will work as a collaborator. More senior members will coach and contribute, placing an emphasis on:
High quality output
Observability and monitoring
Automated testing in all environments, including production
Infrastructure as code and DevOps practices
What You Need
We expect you to be comfortable working as part of a team which owns the entire software stack, including supporting infrastructure, throughout the entire software lifecycle, from inception through production to decommissioning under a DevOps culture. You'll value the constraints that continuous delivery places upon engineering processes and embrace testing and observability as first-order concerns in development.
Required Experience:
Strong grasp of C# .NET development
Experience with event-driven systems β Service Bus or similar messaging technologies such as Kafka or RabbitMQ
Microservices architecture experience
Experience with Azure, or other major cloud providers such as AWS or GCP
Familiarity with containerisation and orchestration tools (Kubernetes, Docker)
Experience with observability tools such as Prometheus and Grafana
Testing and deployment expertise
DevOps culture mindset
Experience working with AI coding tools, ideally Claude Code or similar
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