Software Engineer - Dot Net Core / Dot Net 6+

4 - 8 years

8 - 13 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role Overview:
We are seeking a Software Engineer with strong expertise in .NET Core / .NET 6+, data streaming (Apache Flink, Kafka Streams), and AI-assisted development. You will design scalable, event-driven backend systems, build real-time data pipelines, and contribute to our journey toward intelligent, cloud-native applications.
This role demands hands-on technical depth, a strong architectural mindset, and a focus on delivering reliable, data-driven solutions in a modern DevOps environment.
Key Responsibilities:
  • Design, develop, and optimize backend systems using C# and .NET Core /.NET 6+.
  • Build real-time data streaming pipelines with Apache Flink or Kafka Streams.
  • Develop event-driven architectures leveraging Kafka, Avro schemas, and schema registries.
  • Implement asynchronous programming, background services, and dependency injection.
  • Ensure observability using Prometheus, Grafana, and OpenTelemetry.
  • Deploy and manage services in Kubernetes and automate through CI/CD (GitHub Actions).
  • Apply AI-assisted development practices (e.g., Vibe Coding, GitHub Copilot) to improve speed and consistency.
  • Ensure security, performance, and reliability across distributed systems.
Required Skills & Experience:
  • 4 8 years of experience in backend engineering with .NET Core / .NET 6+.
  • Strong knowledge of C#, async programming, and clean architecture.
  • Hands-on with data streaming frameworks (Flink, Kafka Streams) and Kafka-based architectures.
  • Experience in Docker, Kubernetes, CI/CD, and infrastructure as code (Terraform, Helm).
  • Proficiency with SQL/NoSQL databases and data modeling.
  • Experience implementing and maintaining observability stacks (Prometheus, Grafana, OpenTelemetry).
  • Familiarity with AI-assisted tools like Vibe Coding or GitHub Copilot.
  • Strong collaboration, communication, and problem-solving skills.
Nice to Have:
  • Experience with AI model integration or LLM-based automation.
  • Exposure to real-time analytics, chaos engineering, and performance tuning.
  • Contributions to .NET, AI, or data streaming open-source projects.

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