M-KOPA
M-KOPA
M-KOPA एक फिनटेक कंपनी है, जिसकी स्थापना 2011 में हुई थी। यह पूरे अफ्रीका में उन उपभोक्ताओं तक डिजिटल वित्तीय सेवाओं की पहुंच बढ़ाती है, जिन्हें पारंपरिक बैंकिंग सुविधाएं कम मिलती हैं। केन्या, युगांडा, नाइजीरिया और घाना समेत कई बाजारों में काम करने वाली यह कंपनी डेटा और IoT तकनीक को लचीले डिजिटल माइक्रोपेमेंट्स के साथ जोड़ती है, ताकि ग्राहक स्मार्टफोन, इलेक्ट्रिक मोटरसाइकिल, सौर ऊर्जा प्रणालियों, डिजिटल ऋण और स्वास्थ्य बीमा जैसी रोजमर्रा की आवश्यकताओं के लिए वित्तपोषण प्राप्त कर सकें। M-KOPA का काम फिनटेक, स्वास्थ्य सेवा और लॉजिस्टिक्स तक फैला हुआ है। कंपनी 30 लाख ग्राहकों को 1 अरब डॉलर से अधिक का ऋण उपलब्ध करा चुकी है।

Senior Backend Engineer, Asset Sales — M-KOPA Remote UK

Join M-KOPA as a Senior Backend Engineer building C# and .NET microservices for an Azure-based fintech platform. Help operate event-driven systems that advance financial inclusion across African markets.

विवरण

  • Develop and run distributed C# and .NET microservices on Azure
  • Contribute to event-driven architecture supporting products at substantial scale
  • Take ownership of services from initial concept through delivery, deployment, production support, and continuous improvement
  • Engineer for idempotency, retry handling, out-of-order events, and operational failure scenarios
  • Apply observability, automated testing, SLOs, alerting, and safe deployment practices
  • Take part in on-call support and turn incident learnings into stronger platform resilience
  • Evaluate AI tools, agents, and workflows for system design, code generation, reviews, testing, incident analysis, and technical communication
  • Partner with distributed colleagues across the UK, Europe, and Africa
  • Create backend systems that support financial inclusion and customers throughout African markets

आवश्यकताएँ

  • Strong proficiency in C# and .NET development
  • Hands-on experience with event-driven systems and messaging platforms such as Azure Service Bus, Kafka, or RabbitMQ
  • Experience designing microservices, preferably with Azure and Kubernetes
  • Familiarity with observability tools including Grafana and Azure Application Insights
  • Willingness to incorporate AI tools into everyday engineering work
  • A DevOps-oriented approach that includes on-call participation and production ownership
  • Demonstrated ability to collaborate across distributed teams and time zones
  • Commitment to continuous learning and receptiveness to feedback
  • Availability during core GMT working hours
  • Successful completion of pre-employment background checks if selected

लाभ

  • Individual training budget
  • Budget for setting up a home office
  • Professional development initiatives and coaching partnerships
  • Policies designed to support families
  • Flexible working options
  • Well-being resources
  • Opportunities for career progression
  • Fully remote working arrangement
  • Core GMT working hours
  • Training provided on the job
  • Pre-employment background checks

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