Senior Backend Engineer (Asset Sales)

M-KOPA; Greater London; Remote; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Private health and life insurance

Remote and flexi working

Free meals in office

Fun and collaborative facilities

Career development opportunities

Job summary

M-KOPA is hiring a Senior Backend Engineer for its Asset Sales group to scale its FinTech platform. You will build and operate distributed C#/.NET microservices on Azure within an event-driven architecture at scale, owning the stack end-to-end from idea through production and iteration.

The role emphasizes outcomes over hours, and welcomes AI tooling usage to improve design, testing, incident investigation, and production reliability. Remote and flexi working are available.

Qualifications

• Strong grasp of C# and .NET development.
• Experience with Azure, Kubernetes and microservices.
• Experience with event-driven systems.
• On-call/production ownership and DevOps mindset.

Responsibilities

• Own end-to-end software stack from idea to production and iteration.
• Collaborate in distributed teams across time zones and time-schedule
• Shape AI-native engineering practices and tooling within the team.

Tools

C#

NET

Azure

Kubernetes

Event-driven

Distributed systems

Job description

• 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 FinTech platform. Build distributed, event-driven microservices and help shape what AI-native engineering looks like at M-KOPA
• 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
• 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

Benefits

• Private health and life insurance
• Remote and flexi working
• Free meals in office
• Fun and collaborative facilities
• Career development opportunities

The Campfire Rule: Leave the systems you touch a little better than you found themOwn it beyond the pull request: Design for idempotency, retries, out-of-order events, and failure modes, and know how your services behave in productionGuardrails as we accelerate: Automated tests, SLOs, alerting, observability, and deployment safeguards around everything we shipOn-call as feedback, not heroics: Engineers who build our systems also help operate them, using incidents to make the platform more resilientAI-native engineering: We want engineers who tinker — experimenting with new tools, agents, and workflows, and sharing what worksWe’re looking for a senior engineer who’s curious, autonomous, and highly trustedYou’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.”Comfort using AI tools as part of a daily engineering workflow (design, code review, testing, incident investigation)Strong grasp of C# and .NET developmentDevOps culture mindset, including on-call/production ownershipContinuous learning mindset and openness to feedbackExperience 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 KubernetesProven ability to collaborate effectively in distributed teams across time zonesExperience using observability tooling (e.g. Grafana, Application Insights) to understand production behaviour