Senior .Net Developer

Seneca Global It Services; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Seneca Global IT Services is seeking a Senior .Net Developer with a strong backend focus and hands-on experience in AI-driven development practices. The role emphasizes engineering rigor and AI-enabled efficiency across the development lifecycle.

The ideal candidate will design and implement robust backend services in .NET Core, work with PostgreSQL, and integrate AI tooling like GitHub Copilot and Claude Code to accelerate delivery while maintaining quality, performance, and security.

Qualifications

• Senior .NET experience with backend focus.
• Experience with AI-driven development practices.
• Strong knowledge of backend architectures.
• Hands-on with cloud services and eventing.

Responsibilities

• Design and develop robust backend services using .NET Core.
• Work with PostgreSQL databases for data modeling and querying.
• Experience with Azure Event Hub (Kafka) and Azure Service Bus (Pub-Sub).
• Leverage AI tools like GitHub Copilot and Claude Code to accelerate development.
• Apply prompt engineering techniques to generate and refine code.
• Integrate AI into the entire development lifecycle.
• Perform code reviews and optimize performance, scalability, and security.

Job description

Role & responsibilities

We are looking for a Senior .Net Developer with strong engineering fundamentals and hands-on experience in AI-driven development practices.

The ideal candidate is a backend developer with expertise across backend and a mindset that combines engineering rigor with AI-enabled efficiency.

Key Responsibilities

Backend Development

• Design and develop robust backend services using .NET Core.
• Work with PostgreSQL databases for efficient data modeling and querying
• Good hands on experience on Azure Event Hub (Kafka) and Azure Service Bus (Pub-Sub)

AI-Driven Development

• Leverage AI tools e.g., GitHub Copilot, Claude Code) to accelerate development
• Apply prompt engineering techniques to generate and refine code
• Integrate AI into the entire development lifecycle (design, coding, testing, optimization)
• Critically evaluate AI-generated outputs for:
• Code quality and correctness
• Performance improvements
• Maintainability and scalability.

Quality & Optimization

• Perform code reviews and ensure adherence to best practices
• Optimize applications for performance, scalability, and security
• Make informed decisions on architecture and design improvements