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Senior Backend Engineer - Asset Sales

M-KOPALondonFintech
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
30 Sept 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Senior Backend Engineer for Asset Sales position at M-KOPA is a permanent, fully remote opportunity based out of London that suits an autonomous technologist experienced in scaling distributed systems. In this role, you will help scale one of the most critical parts of the fintech platform by building event-driven microservices and shaping AI-native engineering methodologies. Your code will directly influence real-world financial inclusion, powering systems that supply essential assets like smartphones and e-motorbikes to everyday earners across multiple markets.

Key Responsibilities

Build, operate, and own distributed C# and .NET microservices end-to-end within an event-driven architecture.
Handle complete software lifecycles spanning idea generation, implementation, deployment, production monitoring, and continuous iteration.
Design resilient systems by planning for idempotency, retry mechanisms, out-of-order events, and failure modes.
Participate in an on-call rotation as a mechanism for feedback and operational resilience, using production incidents to improve platform reliability.
Experiment with modern AI tools, automated tests, SLOs, alerting frameworks, and deployment guardrails to accelerate development securely.

Requirements

Strong professional foundation in C# and .NET development.
Demonstrated practical experience working with event-driven systems and messaging technologies like Azure Service Bus, Kafka, or RabbitMQ.
Background in microservices architecture deployed on cloud platforms, ideally utilizing Azure and Kubernetes.
Familiarity with observability tools such as Grafana or Azure Application Insights to evaluate production behavior.
Practical comfort using AI tools daily for code review, design exploration, testing, and incident investigation.
A strong DevOps mindset including production ownership and shared on-call responsibilities.
Proven ability to collaborate smoothly within distributed teams operating across different time zones.

Nice to Have

Prior experience within fast-paced fintech environments scaling financial platforms.
Familiarity with advanced AI tooling workflows such as Claude for code generation and technical communication.

Skills and Tools

C# and .NET
Azure Cloud and Azure Service Bus
Kubernetes
Kafka and RabbitMQ
Grafana and Azure Application Insights
AI Engineering Tools (Claude)

Salary and Benefits

Fully remote working arrangement with collaboration during core GMT working hours.
Personalised training budget dedicated to professional development.
Home office setup allowance.
Access to professional development programs and coaching partnerships.
Family-friendly policies alongside flexible working options.
Dedicated well-being support initiatives.

About the Company

1M-KOPA is a rapidly scaling global fintech platform recognised by the Financial Times as one of Africa's fastest-growing companies for multiple consecutive years. The company drives financial inclusion for traditionally excluded populations through a customer-centric financing model, having helped over 10 million customers access cumulative credit. M-KOPA embraces a diverse, distributed team culture spanning the UK, Europe, and Africa, with a strong commitment to equal opportunity employment.

How to Apply

To apply for this position, please visit the official M-Kopa careers page to submit your application.

Skills and tech stack

AzureKubernetesKafka

Questions candidates ask

Is this position fully remote?

Yes, this is a fully remote role based out of London where you will collaborate with distributed teams during core GMT working hours.

What technology stack is used for backend development?

The backend stack relies on modern C# and .NET to build distributed microservices hosted on Azure using Kubernetes and event-driven architectures.

What kind of messaging technologies are required?

Experience with event-driven systems and messaging technologies such as Azure Service Bus, Kafka, or RabbitMQ is required.

What role does AI play in the daily engineering workflow?

Engineers use AI tooling like Claude daily across design exploration, code review, test writing, incident investigation, and technical communication.

Are there on-call duties for this role?

Yes, engineers who build the systems also help operate them, treating on-call rotations as a feedback loop to improve platform resilience.

Ready to apply?

The application is on the official M-KOPA careers page.

Apply on company site