Senior Backend Engineer - Asset Sales

Description (Public)

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 b

Duties, Roles and Responsibilities

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
: Distributed C# and .NET microservices
Cloud & orchestration
: Hosted on Azure using Kubernetes
: Event-driven, supporting products used at significant scale
: Grafana, Azure Application Insights, logs, traces, and metrics
: 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

Qualifications, Education and Competencies

Qualifications & Experience:

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
: Distributed C# and .NET microservices
Cloud & orchestration
: Hosted on Azure using Kubernetes
: Event-driven, supporting products used at significant scale
: Grafana, Azure Application Insights, logs, traces, and metrics
: 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