Senior Backend Engineer - Asset Sales at M-KOPA Solar

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 tools as part of a daily engineering workflow (design, code review, testing, incident investigation)
• DevOps culture mindset, including on-call/production ownership
• Proven ability to collaborate effectively in distributed teams across time zones
• Continuous learning mindset and openness to feedback