Senior Backend Engineer – Asset Sales

🕒 2 days ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

Where this job comes from

Posted on M-KOPA's careers page, not through a job board

First seen by Remote Rocketship 2 days ago

Still open on M-KOPA's site. Checked 3 hours ago.

Logo of M-KOPA

M-KOPA

1001 - 5000 employees

🏥 Healthcare

📦 Logistics

💳 Fintech

Healthcare • Logistics • Fintech

M-KOPA is a fintech platform founded in 2011 that provides digital financial services to underbanked consumers across Africa, including Kenya, Uganda, Nigeria, and Ghana. The company leverages data and IoT technology to enable digital micropayments, facilitating access to essential products and services such as smartphones, electric motorcycles, solar power systems, digital loans, and health insurance. With over $1 billion in credit extended to 3 million customers, M-KOPA is dedicated to making financing accessible for everyday essentials.

📋 Description

• Build and operate distributed C# and .NET microservices on Azure • Work within an event-driven architecture at significant scale • Own services end-to-end from idea through implementation, deployment, production operation, and iteration • Experiment with AI tools, agents, and workflows and share effective practices • Design for idempotency, retries, out-of-order events, and failure modes • Use automated tests, SLOs, alerting, observability, and deployment safeguards • Participate in on-call and use incidents to improve platform resilience • Collaborate with diverse distributed teams across the UK, Europe, and Africa • Build systems that support financial inclusion and serve millions of customers across African markets

🎯 Requirements

• Strong grasp of C# and .NET development • Experience with event-driven systems; experience with Azure Service Bus or similar messaging technology such as Kafka or RabbitMQ • Microservices architecture experience, ideally on Azure and Kubernetes • Experience using observability tooling such as Grafana and Application Insights • Comfort using AI tools as part of a daily engineering workflow, including design, code review, testing, and incident investigation • DevOps culture mindset, including on-call and production ownership • Proven ability to collaborate effectively in distributed teams across time zones • Continuous learning mindset and openness to feedback • Ability to work during core GMT working hours

🏖️ Benefits

• Bonus • Growth Shares • On-Call Allowance • Personalised training budget • Home office setup budget • Professional development programs and coaching partnerships • Family-friendly policies • Flexible working arrangements • Well-being support • Career growth opportunities • On-the-job training

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