The candidate should be a hands-on .NET Solution Architect with strong experience in enterprise application design, Azure or AWS cloud platforms, REST APIs, databases, DevOps, and modern engineering practices. The candidate should be able to understand requirements, define solutions, present architecture, guide teams, and actively contribute technically when required. Exposure to AI-native engineering and Agentic AI development tools is expected, while deep LLM, RAG, or Generative AI implementation experience is optional.
Key Responsibilities
Design and implement end-to-end enterprise solutions using C#, .NET Core / .NET 6+, RESTful APIs, relational databases, and cloud-native services.
Understand business and functional requirements and translate them into scalable, secure, and maintainable technical solutions.
Define solution architecture, application architecture, integration patterns, coding standards, and best practices for development teams.
Create and present architecture documents, solution designs, technical approaches, and architecture diagrams to business and technical stakeholders.
Provide hands-on technical leadership by guiding development teams, reviewing code, resolving technical challenges, and ensuring engineering quality.
Design and develop RESTful APIs and integrations with external systems, third-party platforms, and CMS platforms such as Headless Umbraco.
Design data architecture using relational databases such as Azure SQL, PostgreSQL, SQL Server, or equivalent cloud-managed database services.
Design and maintain cloud-native solutions using Azure services such as Azure App Service, Azure Functions, API Management, Azure SQL, Azure Storage, Key Vault, Application Insights, Azure Service Bus, and Azure DevOps.
Demonstrate hands-on experience in at least one cloud platform, preferably Azure. Good exposure to AWS or Azure is acceptable, provided the candidate has strong hands-on experience in one of them.
Implement Infrastructure as Code using tools such as Terraform or equivalent IaC tools.
Define and support CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or similar platforms.
Ensure code quality, maintainability, and security using tools such as SonarQube, AppScan, or equivalent security and quality tools.
Support version control, branching strategies, pull request reviews, and release management using Git, GitHub, Azure Repos, or Bitbucket.
Conduct architecture reviews, performance reviews, security assessments, and technical risk evaluations.
Guide and mentor developers and junior architects on design principles, coding standards, cloud-native development, and engineering best practices.
Collaborate closely with project managers, product owners, QA teams, DevOps teams, and business stakeholders to ensure timely and high-quality delivery.
Promote AI-native engineering practices and encourage the effective use of modern developer productivity tools, including Agentic AI development tools.
