Experience - 4 to 6 years

Work Mode - Hybrid (Hyderabad/Noida/Gurgaon)

Notice - Immediate to 15 days max

Role Overview

We are looking for a skilled C# / .NET Developer with 4–6 years of application development experience to join our development team and contribute to building high-quality, high-performance, scalable enterprise applications.

The ideal candidate will have strong hands-on experience in C#, SQL Server, REST APIs, WPF, Windows/Linux environments, and modern software development practices. In addition to strong software engineering fundamentals, the candidate should have practical knowledge of Agentic AI, AI-assisted development, GitHub Copilot, AWS containers, and secure AI integration.

This role requires someone who can contribute across the complete SDLC, work effectively with both technical and business stakeholders, troubleshoot production issues, and continuously adopt modern engineering and AI-assisted development practices.

Key Responsibilities

Software Development

• Design, develop, and maintain high-quality, scalable, and high-performance applications using C# / .NET.
  
• 
  Participate in the complete Software Development Life Cycle (SDLC), including:
  
  • Requirement analysis
    
  • Design
    
  • Development
    
  • Testing
    
  • Deployment
    
  • Production support
    
• Develop industry-leading applications following established coding standards and best practices.
  
• Build reusable and maintainable software components.
  

Technical Design & Collaboration

• Prepare detailed technical design documents and conduct technical walkthroughs.
  
• Collaborate closely with business partners to understand, clarify, and translate requirements into technical solutions.
  
• Work effectively with both technical and non-technical stakeholders.
  
• Participate in architecture and technical discussions as required.
  

Production Support

• Actively participate in identifying, troubleshooting, and resolving production issues.
  
• Perform root-cause analysis and implement sustainable solutions.
  
• Contribute to improving application reliability, performance, and maintainability.
  

Testing & Quality

• Develop and maintain automated unit and acceptance tests.
  
• Follow quality engineering and testing best practices throughout the development lifecycle.
  
• Ensure code is reliable, maintainable, and production-ready.
  

AI & AI-Assisted Development

• Apply Agentic AI capabilities to software development and product engineering.
  
• Leverage GitHub Copilot effectively across different stages of development, beyond basic code completion.
  
• Understand and optimize the use of GitHub Copilot while considering premium request consumption and cost efficiency.
  
• Define and implement appropriate AI guardrails to ensure AI-assisted development is safe, reliable, and effective.
  
• 
  Identify different use cases where AI can improve:
  
  • Software development
    
  • Testing
    
  • Debugging
    
  • Documentation
    
  • Code reviews
    
  • Developer productivity
    
• Understand how AI can be safely integrated into products without exposing sensitive or customer data.
  
• Apply appropriate context and security considerations when incorporating AI capabilities into application architecture.
  

AWS & Cloud Development

• Develop and package applications in a manner that is cloud and deployment agnostic.
  
• 
  Work with AWS container technologies for:
  
  • Application deployment
    
  • Build pipelines
    
  • Development environments
    
  • General engineering scenarios
    
• Understand containerization and cloud-native development practices.
  
• Ensure applications can be deployed effectively across different environments without unnecessary platform dependencies.
  

Primary Skills

Backend / Application Development

• C#
  
• .NET
  
• Object-Oriented Programming
  
• Application Development
  
• REST APIs
  
• WPF
  

Database

• SQL Server
  
• SQL
  
• Database Integration
  

Operating Systems

• Windows
  
• Linux
  

AI & AI-Assisted Development

• Agentic AI
  
• GitHub Copilot
  
• AI-assisted software development
  
• AI guardrails
  
• AI security and data protection
  
• AI-enabled developer productivity
  

Cloud & Containers

• AWS
  
• AWS Containers
  
• Containerized application development
  
• Container-based build pipelines
  
• Cloud/deployment-agnostic application packaging
  

Testing

• Automated Testing
  
• Unit Testing
  
• Acceptance Testing
  

Secondary Skills

• Docker
  
• Kubernetes
  
• AWS CI/CD
  
• CI/CD Pipelines
  
• Cloud-native development
  
• Application security
  
• Secure AI integration
  
• Prompt Engineering
  
• AI-assisted testing and debugging
  
• AI-powered code review
  
• Software Design Patterns
  
• Performance Optimization
  
• Production Troubleshooting
  
• Root Cause Analysis
  
• Technical Documentation
  

Key Responsibilities

Software Development

• Design, develop, and maintain high-quality, scalable, and high-performance applications using C# / .NET.
  
• 
  Participate in the complete Software Development Life Cycle (SDLC), including:
  
  • Requirement analysis
    
  • Design
    
  • Development
    
  • Testing
    
  • Deployment
    
  • Production support
    
• Develop industry-leading applications following established coding standards and best practices.
  
• Build reusable and maintainable software components.
  

Technical Design & Collaboration

• Prepare detailed technical design documents and conduct technical walkthroughs.
  
• Collaborate closely with business partners to understand, clarify, and translate requirements into technical solutions.
  
• Work effectively with both technical and non-technical stakeholders.
  
• Participate in architecture and technical discussions as required.
  

Production Support

• Actively participate in identifying, troubleshooting, and resolving production issues.
  
• Perform root-cause analysis and implement sustainable solutions.
  
• Contribute to improving application reliability, performance, and maintainability.
  

Testing & Quality

• Develop and maintain automated unit and acceptance tests.
  
• Follow quality engineering and testing best practices throughout the development lifecycle.
  
• Ensure code is reliable, maintainable, and production-ready.
  

AI & AI-Assisted Development

• Apply Agentic AI capabilities to software development and product engineering.
  
• Leverage GitHub Copilot effectively across different stages of development, beyond basic code completion.
  
• Understand and optimize the use of GitHub Copilot while considering premium request consumption and cost efficiency.
  
• Define and implement appropriate AI guardrails to ensure AI-assisted development is safe, reliable, and effective.
  
• 
  Identify different use cases where AI can improve:
  
  • Software development
    
  • Testing
    
  • Debugging
    
  • Documentation
    
  • Code reviews
    
  • Developer productivity
    
• Understand how AI can be safely integrated into products without exposing sensitive or customer data.
  
• Apply appropriate context and security considerations when incorporating AI capabilities into application architecture.
  

AWS & Cloud Development

• Develop and package applications in a manner that is cloud and deployment agnostic.
  
• 
  Work with AWS container technologies for:
  
  • Application deployment
    
  • Build pipelines
    
  • Development environments
    
  • General engineering scenarios
    
• Understand containerization and cloud-native development practices.
  
• Ensure applications can be deployed effectively across different environments without unnecessary platform dependencies.
  

Primary Skills

Backend / Application Development

• C#
  
• .NET
  
• Object-Oriented Programming
  
• Application Development
  
• REST APIs
  
• WPF
  

Database

• SQL Server
  
• SQL
  
• Database Integration
  

Operating Systems

• Windows
  
• Linux
  

AI & AI-Assisted Development

• Agentic AI
  
• GitHub Copilot
  
• AI-assisted software development
  
• AI guardrails
  
• AI security and data protection
  
• AI-enabled developer productivity
  

Cloud & Containers

• AWS
  
• AWS Containers
  
• Containerized application development
  
• Container-based build pipelines
  
• Cloud/deployment-agnostic application packaging
  

Testing

• Automated Testing
  
• Unit Testing
  
• Acceptance Testing
  

Secondary Skills

• Docker
  
• Kubernetes
  
• AWS CI/CD
  
• CI/CD Pipelines
  
• Cloud-native development
  
• Application security
  
• Secure AI integration
  
• Prompt Engineering
  
• AI-assisted testing and debugging
  
• AI-powered code review
  
• Software Design Patterns
  
• Performance Optimization
  
• Production Troubleshooting
  
• Root Cause Analysis
  
• Technical Documentation
  

Diversity Inclusion:

At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career.

Exavalu also promotes flexibility  depending on the needs of employees, customers and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also have a welcome back program to help people get back to the mainstream after a long break due to health or family reasons.