Dotnet Developer

About Us

Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner.

Job Description

Datavail helps customers manage their data and maximise IT efficiency through application of our deep expertise in databases, analytics, and applications. We are North America’s largest data integration and database administration company with more than 900 employees on payroll and core operations in four countries. Founded in 2007, Datavail is based in Broomfield, Colorado and supports mid-market and enterprise clients headquartered in North America. For more information, visit www.datavail.com

Position: .NET Architect – Full Time Employee

Experience: 10+ years

Education: Bachelor’s or Master’s Degree in IT / SE / CE

Location: Anywhere Canada

Skills & Experience:

• Extensive proficiency in C# and the .NET Core / .NET Framework ecosystem
• Proven experience architecting and designing large-scale, multi-tiered applications
• Deep understanding of PHP, ASP.NET MVC, ASP.NET Web API, Razor Pages, and microservices architecture
• Strong background in SQL Server or other relational databases (including performance tuning, complex queries, and stored procedures)
• Familiarity with front-end technologies such as HTML, CSS, JavaScript, and frameworks like Angular, React, or Blazor
• Expertise in object-oriented programming, design patterns, and advanced software architecture principles (including SOLID, DDD, and enterprise integration patterns)
• Experience with cloud platforms (preferably Azure; AWS/Oracle as a plus) and modern DevOps practices
• Demonstrated ability to lead technical teams, mentor developers, and drive architectural best practices
• Technical Skills:
• Backend: .NET, C#, ASP.NET Core, REST APIs, gRPC; microservices (Docker/Kubernetes/AKS)
• Frontend: PHP, Blazer, React or Angular, JavaScript (ES6+), HTML5, CSS3; component libraries; accessibility best practices
• Data: Azure SQL Server, MySQL; performance tuning; ETL/data integration; event-driven architectures
• Azure: App Service/Container Apps, Azure AI Search, Azure OpenAI Service, Azure ML, Entra ID (Azure AD), Key Vault, Storage, Application Insights
• DevOps: Azure DevOps/GitHub Actions; CI/CD; Infrastructure-as-Code (ARM/Bicep/Terraform); automated testing; observability
• Key Responsibilities:
• Lead the end-to-end architecture of complex .NET/PHP web applications, ensuring scalability, security, and maintainability
• Define and enforce architectural standards, guidelines, and best practices; conduct architecture and code reviews
• Collaborate with stakeholders to translate business requirements into technical designs and execution roadmaps
• Establish CI/CD and observability for applications; measure performance and reliability
• Identify and resolve production and non-production issues; drive root-cause analysis and preventive improvements
• Continuously evaluate emerging technologies and recommend adoption paths aligned to business value
• Mentor developers; foster a culture of craftsmanship, documentation, and continuous improvement
• Preferred / Desirable Experience (Nice to Have):
• Experience integrating Azure OpenAI Service or Azure Cognitive Services into .NET applications (prompt design, content grounding, content filtering)
• Exposure to Retrieval-Augmented Generation (RAG) architectures using Azure AI Search or vector-capable databases (e.g., Milvus, Weaviate, Pinecone)
• Building AI-enabled features such as semantic search, summarisation, classification, or conversational agents within enterprise portals
• Familiarity with Azure Machine Learning (AML) pipelines for model training, evaluation, and deployment; MLOps practices (CI/CD for models, versioning, monitoring)
• Knowledge of Microsoft Fabric/Synapse for data engineering and AI workloads, and Purview for data/AI governance
• Understanding of agent orchestration patterns and responsible AI practices for enterprise security and compliance
• Performance tuning and cost optimisation for embedding generation, vector indexing, and inference at scale
• Certifications:
• Azure Solutions Architect Expert (AZ-305), Azure AI Engineer Associate, or equivalent multi-cloud certifications