M-KOPA
M-KOPA
M-KOPA este o companie de tehnologie financiară fondată în 2011, care extinde accesul la servicii financiare digitale pentru consumatorii insuficient deserviți de sistemul bancar din Africa. Compania operează pe piețe precum Kenya, Uganda, Nigeria și Ghana și combină datele și tehnologia IoT cu microp plăți digitale flexibile pentru a-i ajuta pe clienți să finanțeze necesități esențiale de zi cu zi, precum smartphone-uri, motociclete electrice, sisteme de energie solară, împrumuturi digitale și asigurări de sănătate. Activitatea M-KOPA acoperă domeniile tehnologiei financiare, sănătății și logisticii, compania acordând credite de peste 1 miliard de dolari unui număr de 3 milioane de clienți.

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.

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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