.Net Solution Architect

Job Title: .NET Solution Architect (Cloud & AI)

Employment Type: Full-Time
Work Model: DoralHybrid

Job Summary

We are seeking an experienced .NET Solution Architect to lead the design and delivery of enterprise-scale applications. The ideal candidate will have deep expertise in .NET, cloud-native architectures, microservices, Azure/AWS, DevOps, and AI-enabled application modernization. This role requires close collaboration with business stakeholders, technical teams, and client leadership to deliver secure, scalable, and high-performance solutions.

Key Responsibilities

• Design end-to-end solution architecture for enterprise applications.
• Lead architecture discussions and provide technical leadership throughout project delivery.
• Design scalable applications using C#, ASP.NET Core, .NET 6/7/8, and microservices.
• Drive application modernization, cloud migration, and API-first architectures.
• Integrate AI capabilities using OpenAI APIs, Azure AI Services, and modern AI frameworks.
• Collaborate with DevOps teams to implement CI/CD pipelines and deployment automation.
• Ensure architecture aligns with security, scalability, and enterprise standards.
• Mentor development teams and participate in architecture and code reviews.

Required Skills

• 12+ years of application development experience with 5+ years as a Solution Architect.
• Strong expertise in C#, ASP.NET Core, .NET Framework/.NET 6/7/8, Web API, Entity Framework, LINQ.
• Experience with Microservices, REST APIs, Event-Driven Architecture, DDD, and Design Patterns.
• Frontend experience with Angular or React, JavaScript/TypeScript.
• Hands-on experience with Azure or AWS, Docker, Kubernetes, and CI/CD tools (Azure DevOps, GitHub Actions, Jenkins).
• Strong knowledge of SQL Server and exposure to PostgreSQL/MySQL and NoSQL databases.
• Experience with messaging platforms such as Kafka, RabbitMQ, or Azure Service Bus.
• Knowledge of security standards including OAuth2, JWT, and SSO.

Preferred Qualifications

• Experience with Generative AI, OpenAI APIs, Azure AI Services, RAG, Prompt Engineering, AI Agents, and Vector Databases.
• Familiarity with AI-assisted development, AIOps, and observability tools such as Datadog or Dynatrace.
• TOGAF or Cloud certifications are a plus.
• Strong communication, stakeholder management, and leadership skills.