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 – 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 

• Languages & frameworks: C#/.NET
• Cloud: We work in Azure, and welcome experience across AWS or GCP
• Architecture: Event-driven systems and microservice development – 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 

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 – 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