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 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.

Aprašymas

  • 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

Reikalavimai

  • 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

Privalumai

  • 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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