Sr Software Engineer (dotNet) - 6+yrs

Experience: 610 Years
Job Title: Senior Software Engineer (.NET)
Technology: .NET, C#, Azure, REST APIs, Event-Driven Architecture, AI-Assisted Development

About the Role

We are looking for an experienced Senior Software Engineer (.NET) to design, develop, and maintain high-quality backend services and integrations for enterprise applications. The ideal candidate will have strong expertise in .NET technologies, cloud-based development, databases, and modern software architecture.

The role involves collaborating with technical leads, architects, and cross-functional teams to build reliable, scalable, and maintainable solutions. The candidate will also contribute to AI-augmented software development practices and explore Generative AI use cases where applicable.

Key Responsibilities

1. Backend Development & Architecture

• Design, develop, and maintain backend services and REST APIs using .NET, C#, and ASP.NET Web API.
• Build and maintain integrations across enterprise platforms, including ERP, e-commerce, and product information management systems.
• Implement event-driven architecture and reliable integration components.
• Collaborate with technical leads and architects on solution design and technology decisions.
• Follow clean code principles, automated testing practices, and technical documentation standards.
• Ensure application reliability, scalability, maintainability, and long-term performance.

2. Azure & Database Development

• Develop and deploy applications using Azure App Services.
• Work with Microsoft Entra ID, Microsoft Graph API, and Azure DevOps pipelines.
• Design and work with MongoDB, Cosmos DB, and PostgreSQL databases.
• Support continuous integration and continuous delivery (CI/CD) practices.

3. AI-Assisted Development

• Use AI coding tools to improve development productivity and code quality.
• Contribute to the adoption of AI-supported software development practices across the team.
• Explore Generative AI solutions, including Retrieval-Augmented Generation (RAG), vector search, and knowledge graph architectures.

4. Collaboration & Technical Leadership

• Collaborate with technical teams, architects, product owners, and domain experts across international locations.
• Review code, share technical knowledge, and mentor junior developers.
• Clarify business requirements and contribute to high-quality end-to-end product delivery.
• Promote engineering best practices and continuous improvement.

Mandatory Skills

• Experience: 6–10+ years in backend development or software engineering.
• Programming: Strong expertise in .NET and C#.
• API Development: Hands-on experience with ASP.NET Web API and REST APIs.
• Azure: Experience with Azure App Services, Microsoft Entra ID, Microsoft Graph API, and Azure DevOps pipelines.
• Architecture: Practical experience with event-driven architecture.
• Databases: Hands-on experience with MongoDB, Cosmos DB, and PostgreSQL.
• AI Tools: Proficiency in AI coding tools and willingness to promote AI-assisted development practices.
• Soft Skills: Strong collaboration, problem-solving, communication, and mentoring skills.
• Ability to work effectively in agile, multinational, and cross-functional teams.

Good-to-Have Skills

• Experience with product development lifecycles and agile product development.
• Functional analysis skills, including use cases and UML.
• Knowledge of vector databases and embeddings.
• Familiarity with Generative AI, RAG, and knowledge graph architectures.
• Exposure to Node.js, Python, or TypeScript.
• Experience with enterprise integrations, workflow automation, ERP, or e-commerce platforms.

Key Competencies

• Strong analytical and problem-solving abilities.
• High standards for code quality and software reliability.
• Ownership of development tasks and technical solutions.
• Ability to mentor junior engineers and contribute to technical decisions.
• Openness to innovation and continuous learning.