C# .NET Developer with Cloud & AI

Job Summary

We are seeking a highly skilled .NET Core Developer / Technical Lead with strong experience in designing, developing, modernizing, and deploying enterprise-grade applications across cloud or on-premises environments. The ideal candidate should have solid hands-on experience in .NET Core, good conceptual understanding of AI technologies, containerization, and cloud platforms (AWS/Azure). This role requires leading a small team (3–5 members), driving Agile execution, and delivering high-quality scalable solutions, including modernization of legacy systems.

Required Skills & Experience:

• 4-6 years of IT experience in .NET technologies with strong backend development expertise
• Experience in migrating or modernizing legacy .NET Framework applications to the latest .NET Core / .NET versions
• Strong understanding of application architecture, REST APIs, and microservices design
• 1+ years of experience working with Cloud platforms (Azure or AWS)
• Experience in containerization technologies such as Docker and Kubernetes
• Good conceptual knowledge or practical exposure to AI/ML integration in applications
• Experience working in Agile/Scrum methodology
• Proven ability to lead and mentor a team of 3–5 engineers
• Strong communication, stakeholder interaction, and problem-solving skills

Good To have:

• Hands-on experience in deploying and managing applications in Azure or AWS environments
• Understanding of CI/CD workflows, DevOps practices, and automated deployments
• Experience working with cloud-native services
• Exposure to AI frameworks, APIs, or AI-enabled solution design
• Familiarity with Infrastructure as Code

Key Responsibilities

• Design, develop, modernize, and maintain scalable solutions using C# and .NET Core across cloud or on-premises environments
• Lead migration of legacy applications to modern .NET Core architecture, ensuring performance, scalability, and security improvements
• Lead a team of 3–5 engineers, provide technical guidance, and ensure timely delivery
• Integrate AI capabilities or AI-based services into business applications where applicable
• Build and manage CI/CD pipelines to support automated build, test, and deployment processes
• Ensure adherence to Agile practices, participate in sprint planning, reviews, and retrospectives
• Troubleshoot and resolve technical issues related to application deployment and cloud configuration
• Document architecture, workflows, deployment processes, and technical design decisions

.NET Core, Legacy Modernization, Cloud, Containerization, Knowledge of AI