Senior Backend Engineer: Mobility – M-Kopa
Job Purpose
To design, build, and maintain event-driven microservices across the full software lifecycle using C#/.NET, Azure, Kubernetes, and modern DevOps practices, while leveraging AI-assisted development tools to deliver high-quality, observable, and continuously deployed software.
Roles & Responsibilities
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Full-Stack Software Ownership: Own applications and supporting infrastructure across the entire software lifecycle—from inception and development through production deployment to decommissioning under a DevOps culture.
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Microservices & Event-Driven Development: Design and build scalable microservices and event-driven systems utilizing Azure Service Bus, Kafka, RabbitMQ, or similar messaging technologies.
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Infrastructure & Containerization: Manage cloud infrastructure in Azure (or AWS/GCP) using Infrastructure as Code (IaC), containerization, and orchestration tools such as Docker and Kubernetes.
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Observability & Monitoring: Implement and monitor comprehensive observability and metrics using tools like Prometheus and Grafana to ensure high system reliability.
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Automated Testing & Continuous Delivery: Drive automated testing across all environments (including production) and uphold rigorous continuous delivery and deployment standards.
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AI-Assisted Engineering: Integrate AI coding assistants—such as Claude Code and related tooling—into daily engineering workflows to boost productivity and code quality.
Qualifications
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Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience).
Skills, Experience & Competences
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Strong grasp and hands-on experience with C# .NET development.
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Proven experience building event-driven systems and microservices architecture using message brokers like Azure Service Bus, Kafka, or RabbitMQ.
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Solid experience working with Azure or other major cloud providers (AWS or GCP).
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Familiarity with containerization and orchestration tooling, specifically Docker and Kubernetes.
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Working knowledge of observability platforms such as Prometheus and Grafana.
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Strong background in automated testing, deployment pipelines, and DevOps principles.
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Hands-on experience leveraging AI coding tools (such as Claude Code) within modern engineering workflows.
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Collaborative mindset with a commitment to code quality, mentorship, and continuous improvement.