M-KOPA
M-KOPA
M-KOPA yra 2011 m. įkurta finansinių technologijų bendrovė, plečianti nepakankamai aptarnaujamų vartotojų prieigą prie skaitmeninių finansinių paslaugų visoje Afrikoje. Bendrovė veikia tokiose rinkose kaip Kenija, Uganda, Nigerija ir Gana, o duomenų bei daiktų interneto technologijas derina su lanksčiais skaitmeniniais mikromokėjimais, kad padėtų klientams finansuoti kasdienius poreikius, pavyzdžiui, išmaniuosius telefonus, elektrinius motociklus, saulės energijos sistemas, skaitmenines paskolas ir sveikatos draudimą. M-KOPA veikla apima finansines technologijas, sveikatos priežiūrą ir logistiką, o bendrovė trims milijonams klientų suteikė daugiau kaip 1 mlrd. JAV dolerių kreditų.

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.

Aprašymas

  • 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

Reikalavimai

  • 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

Privalumai

  • 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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