M-KOPA
M-KOPA
M-KOPA — 2011-yilda tashkil etilgan, Afrika bo‘ylab bank xizmatlaridan yetarlicha foydalana olmaydigan iste’molchilarning raqamli moliyaviy xizmatlardan foydalanish imkoniyatini kengaytiruvchi fintech kompaniyasi. Keniya, Uganda, Nigeriya va Gana kabi bozorlarda faoliyat yurituvchi kompaniya ma’lumotlar va IoT texnologiyasini moslashuvchan raqamli mikrot to‘lovlar bilan birlashtirib, mijozlarga smartfonlar, elektr mototsikllar, quyosh energiyasi tizimlari, raqamli kreditlar va tibbiy sug‘urta kabi kundalik ehtiyojlarini moliyalashtirishga yordam beradi. M-KOPA faoliyati fintech, sog‘liqni saqlash va logistika sohalarini qamrab oladi; kompaniya 3 million mijozga 1 milliard dollardan ortiq kredit ajratgan.

Senior Backend Engineer, Asset Sales — M-KOPA | Kenya Remote

Build distributed C# and .NET microservices on Azure for M-KOPA’s financial-inclusion platform. Lead event-driven systems, production operations, and AI-supported engineering practices.

Tavsif

  • Develop and operate distributed C# and .NET microservices on Azure
  • Contribute to large-scale event-driven architecture
  • Manage services through design, implementation, production deployment, and ongoing iteration
  • Design systems to handle idempotency, retries, out-of-order events, and failures
  • Investigate production behaviour using logs, traces, metrics, and observability tools
  • Evaluate AI tools, agents, and workflows, and share effective approaches
  • Implement automated testing, SLOs, alerting, observability, and deployment safeguards
  • Participate in on-call support and use incidents to strengthen platform resilience
  • Partner with distributed teams across the UK, Europe, and Africa

Talablar

  • Strong command of 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 using Azure and Kubernetes
  • Familiarity with observability platforms such as Grafana and Application Insights
  • Ability to use AI tools throughout engineering workflows, including design, code review, testing, and incident investigation
  • A DevOps-oriented approach that includes on-call support and production ownership
  • Demonstrated effectiveness working with distributed teams across time zones
  • Commitment to continuous learning and receptiveness to feedback
  • Successful candidates must complete pre-employment checks covering criminal records, identity, academic qualifications, employment dates, and employer references

Imtiyozlar

  • Personalised training budget for professional development
  • Budget for setting up a home office
  • Professional development programmes and coaching partnerships
  • Family-friendly policies
  • Flexible working arrangements
  • Well-being support
  • Opportunities for career progression
  • Training provided on the job
  • Diverse development programmes

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