.NET/C# Developer
Insight Global
Franklin, MI (In Person)
Full-Time
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Job Description
Type:
full-timeJob Description:
Required Skills & Experience- 7+ years of professional software development experience building backend or distributed systems.
- Strong experience developing applications using C# and ASP.NET.
- Experience developing and deploying services in Linux server environments.
- Deep understanding of TCP/IP networking, socket programming, and network-based service architectures.
- Experience implementing secure service architectures, including authentication mechanisms, encryption, and service hardening.
- Hands on experience with distributed messaging platforms such as Kafka, MQTT, RabbitMQ, or similar technologies.
- Experience deploying or operating systems within cloud environments such as AWS, Azure, or Google Cloud Platform.
- Familiarity with Git based workflows and CI/CD pipelines. Nice to Have Skills & Experience
- Experience building high throughput or real-time messaging systems.
- Experience with containerization technologies such as Docker and Kubernetes.
- Experience building IoT platforms or device communication systems.
Responsibilities include:
- Design and develop high performance backend services using C# and .NET running in Linux server environments.
- Architect and implement scalable service oriented systems that support high throughput messaging, device communication, and distributed workloads.
- Design and build network based services.
- Develop and maintain systems that leverage distributed messaging technologies such as Kafka, MQTT, RabbitMQ, or similar platforms.
- Implement secure service architectures, including authentication, authorization, encryption, and secure communication patterns.
- Design backend infrastructure with high availability, scalability, observability, and fault tolerance as core principles.
- Optimize service performance through asynchronous programming, concurrency models, and efficient resource management.
- Develop and maintain APIs and service interfaces used by internal systems, connected devices, and cloud platforms.
- Collaborate with DevOps and infrastructure teams to support deployment pipelines and operational tooling across cloud environments such as AWS, Azure, or GCP.
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