Sr Engineer - .Net

6 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

We’re looking for a Backend Engineer (.NET) who expects more from their career.

Responsibilities

  • 6+ years of hands-on experience in backend development, focusing on performance, scalability, security, multi-tenancy, and maintainability.
  • Strong proficiency in C# and .NET Core, with expertise in developing RESTful APIs and microservices.
  • Drive code quality, ensuring adherence to best practices, design patterns, and SOLID principles.
  • Experience with cloud platforms (Google Cloud Platform & Azure), implementing cloud-native and multi-tenant best practices for scalability, security, and resilience.
  • Hands-on experience with containerization (Docker) and orchestration (Kubernetes, Helm).
  • Strong focus on non-functional requirements (NFRs), especially in multi-tenant environments — including tenant isolation, security boundaries, performance optimization under variable load, scalability across tenants, and comprehensive observability (monitoring/logging/alerting) for tenant-specific insights.
  • Experience implementing unit testing, integration testing, and automated testing frameworks.
  • Proficiency in CI/CD automation, with experience in GitOps workflows and Infrastructure-as-Code (Terraform, Helm, or similar).


Qualifications


  • Strong proficiency in C#, .NET Core, and RESTful API development.
  • Experience with asynchronous programming, concurrency control, and event-driven architecture (Pub/Sub, Kafka, etc.).
  • Hands-on experience with Docker and Kubernetes (K8s) for containerized applications.
  • Strong knowledge of performance tuning, security best practices, and observability (monitoring/logging/alerting).
  • Experience with CI/CD pipelines, GitOps workflows, and infrastructure-as-code (Terraform, Helm, or similar).
  • Exposure to multi-tenant architectures with strong understanding of NFRs, including tenant isolation strategies, secure resource partitioning, performance profiling across tenants, shared vs. isolated resource models, and scalable, resilient design patterns for onboarding and operating multiple tenants concurrently

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