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# Senior Backend Engineer II & III (.NET)

- **Company:** Kelly M. Kopa Consulting L.L.C.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Artificial Intelligence, Application Performance Management, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Code Generation, Code Review, DevOps, Operational Databases, RabbitMQ, Azure Service Bus, Datadog, Grafana, Backend, Event Driven Architecture, Kubernetes, Apache Kafka, Claude, Microservices
- **Published:** November 13, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pyvszy9kyg

## About the Role

* 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

## Description

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, 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."