Senior Backend Engineer - Event-Driven Microservices Remote

M-KOPA

City of Edinburgh

À distance

GBP 90 000 - 120 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Fully remote

Résumé du poste

M-KOPA is seeking a Senior Backend Engineer to scale its Mobility platform. You will design and build event-driven microservices using C# .NET, with Azure and other cloud tools, and own services from concept to production monitoring.

This role is a 12-month fixed-term contract with potential extension, fully remote across UTC -1 to UTC +3. You will work in a fast-growing team, leveraging Kubernetes, Docker, and modern DevOps practices, and integrating AI coding tools to accelerate delivery,

Qualifications

  • Strong grasp of C# .NET development.
  • Experience with event-driven systems such as Service Bus, Kafka or RabbitMQ.
  • Microservices architecture experience.
  • Experience with Azure or other cloud providers (AWS or GCP).
  • Familiarity with containerisation/orchestration (Kubernetes, Docker).
  • Observability tools such as Prometheus and Grafana.
  • Testing and deployment in production environments.
  • DevOps culture mindset and IaC practices.
  • Experience with AI coding tools (Claude Code or similar).

Responsabilités

  • Build sophisticated event-driven microservices powering backend for M-KOPA Mobility.
  • Own solutions end-to-end from architecture decisions to production monitoring.
  • Collaborate across teams to deliver scalable, reliable services.

Connaissances

C# .NET
Event-driven
Microservices
Azure
Kubernetes
Docker
Observability
DevOps
AI tools

Outils

Service Bus
Kafka
RabbitMQ

Description du poste

M-KOPA is seeking a Senior Backend Engineer to scale its Mobility platform. You will design and build event-driven microservices using C# .NET, with Azure and other cloud tools, and own services from concept to production monitoring.

This role is a 12-month fixed-term contract with potential extension, fully remote across UTC -1 to UTC +3. You will work in a fast-growing team, leveraging Kubernetes, Docker, and modern DevOps practices, and integrating AI coding tools to accelerate delivery,

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