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Senior Backend Engineer - Asset Sales

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: M-KOPA
Full Time position
Listed on 2026-10-14
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 65000 - 95000 GBP Yearly GBP 65000.00 95000.00 YEAR
Job Description & How to Apply Below

Join our expanding engineering team! We're hiring a permanent Senior Backend Engineer to join our Asset Sales group as we scale one of the most important parts of M-KOPA's Fin Tech platform. Build distributed, event-driven microservices and help shape what AI-native engineering looks like at M-KOPA.

Join our expanding engineering team! We're hiring a permanent Senior Backend Engineer to join our Asset Sales group as we scale one of the most important parts of M-KOPA's Fin Tech platform. Build distributed, event-driven microservices and help shape what AI-native engineering looks like at M-KOPA.

The Impact

Your code will directly power the systems that put smartphones and e-motorbikes into the hands of Every Day Earners across Africa. We've already helped over 10 million customers access more than $2 billion in credit. It's your chance to be part of something that's literally transforming lives across an entire continent.

The Opportunity
  • Mission-driven engineering:
    Every service you build helps expand financial inclusion for under-banked populations
  • Global recognition:
    Join a company named by the Financial Times as one of Africa's fastest‑growing companies for five consecutive years (2022–2026)
  • Scale challenges:
    Build backend systems serving millions across multiple African markets
  • AI-native from day one:
    We're actively embracing AI as part of the engineering craft, not bolting it on
  • Fully distributed:
    Work remotely with diverse teams across UK, Europe, and Africa
What You’ll Do

At M-KOPA, you’ll build and operate distributed C# and .NET microservices on Azure, working within an event‑driven architecture at significant scale. This is an outcomes-driven role: we care far more about the value you create than where you sit or how many hours you’re online. You’ll own what you build end-to-end — from idea, through implementation and deployment, into production and iteration.

Technical

Environment
  • Modern C# stack:
    Distributed C# and .NET microservices
  • Cloud & orchestration:
    Hosted on Azure using Kubernetes
  • Architecture:
    Event-driven, supporting products used at significant scale
  • Observability:
    Grafana, Azure Application Insights, logs, traces, and metrics
  • AI tooling:
    Claude and other AI tools used throughout the engineering workflow — design exploration, code generation and review, test writing, incident investigation, and technical communication
Our Engineering Approach
  • AI-native engineering:
    We want engineers who tinker — experimenting with new tools, agents, and workflows, and sharing what works
  • Guardrails as we accelerate:
    Automated tests, SLOs, alerting, observability, and deployment safeguards around everything we ship
  • Own it beyond the pull request:
    Design for idempotency, retries, out-of-order events, and failure modes, and know how your services behave in production
  • The Campfire Rule:
    Leave the systems you touch a little better than you found them
  • On-call as feedback, not heroics:
    Engineers who build our systems also help operate them, using incidents to make the platform more resilient
What You Need

We’re looking for a senior engineer who’s curious, autonomous, and highly trusted. You’re comfortable owning the entire software stack — including supporting infrastructure — throughout its lifecycle, and you see production data, not just deployment, as the real measure of "done."

Required Experience
  • Strong grasp of C# and .NET development
  • Experience with event-driven systems - We use Azure Service Bus, but would love to hear from you if you have experience with similar messaging technology (Kafka, RabbitMQ, etc.)
  • Microservices architecture experience, ideally on Azure and Kubernetes
  • Experience using observability tooling (e.g. Grafana, Application Insights) to understand production behaviour
  • Comfort using AI…
Position Requirements
10+ Years work experience
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