Senior Backend Engineer – Asset Sales

🔥 52 minutes ago

🌐 United Kingdom, Spain, +2 more countries – Remote

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⏰ Full Time

🟠 Senior

🔙 Backend Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

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👻 Ghost score 10%

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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 supporting products at significant scale • Own services end-to-end from ideation through implementation, deployment, production operation, and iteration • Design for idempotency, retries, out-of-order events, and failure modes • Use observability, automated tests, SLOs, alerting, and deployment safeguards • Participate in on-call operations and use incidents to improve platform resilience • Experiment with AI tools, agents, and workflows across design, code generation, code review, testing, incident investigation, and technical communication • Collaborate with distributed teams across the UK, Europe, and Africa • Build backend systems supporting financial inclusion and customers across African markets

🎯 Requirements

• Strong grasp of C# and .NET development • Experience with event-driven systems and messaging technologies such as Azure Service Bus, Kafka, or RabbitMQ • Experience with microservices architecture, ideally on Azure and Kubernetes • Experience using observability tooling such as Grafana and Azure Application Insights • Comfort using AI tools as part of a daily engineering workflow • 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 • Must complete pre-employment background checks if selected

🏖️ Benefits

• 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 • Fully remote work arrangement • Core GMT working hours • On-the-job training • Pre-employment background checks

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