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Senior .NET Developer with Cloud and AI Expertise

Themesoft

 

Toronto, ON, Canada

Posted On: 30+ days ago
Experience: 10+ years
Availability: Onsite
Openings: 1
Category: Senior .Net Developer
Tenure: No Preference/Any
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Description

You will lead end-to-end software development, owning architecture, coding, testing, and deployment for .NET Core applications. You will design and optimize SQL relational databases and build RESTful APIs. You will implement cloud-native architectures using Azure, including microservices, containerization with Docker and Kubernetes, and serverless solutions.

Responsibilities

  • Lead full-stack development using .NET Core and JavaScript, ensuring scalable and performant code.
  • Design and optimize SQL database schemas and data models for enterprise applications.
  • Implement and maintain CI/CD pipelines using GitHub Actions, with strong preference for Helios experience.
  • Drive Agile ceremonies (Scrum/Kanban), conduct code reviews, and mentor junior developers.
  • Integrate AI tools for code generation, testing automation, and documentation to boost team productivity.

Required Skills

  • 10+ years of professional software development experience.
  • Deep expertise in .NET Core and .NET-based application design and optimization.
  • Strong proficiency in JavaScript for front-end integration and full-stack collaboration.
  • Hands-on experience with SQL and relational database design, modeling, and optimization.
  • Proven track record building and integrating RESTful APIs and web services.
  • Experience with cloud-native architectures, including microservices and containerization (Docker, Kubernetes, OpenShift).
  • Practical knowledge of DevOps practices, including CI/CD pipelines, GitHub, and GitHub Actions.
  • Experience with automated testing (unit, integration, and deployment validation).
  • Familiarity with Agile methodologies (Scrum/Kanban).

Preferred Skills

  • Hands-on experience with Microsoft Azure core services and infrastructure management.
  • Experience implementing AI-driven automation, such as using Azure AI services for business process automation or agentic AI solutions.
  • Experience mentoring teams on AI tool integration to enhance engineering productivity.

Education

Any Graduate

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