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.NET Solution Architect

Job in Doral, Miami-Dade County, Florida, USA
Listing for: HTC Global Services Inc
Full Time position
Listed on 2026-07-19
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Cloud Engineer - Software, DevOps
Job Description & How to Apply Below
Job Title:

.NET Solution Architect (Cloud, AI & Enterprise Applications) Overview / Summary We are seeking an experienced .NET Solution Architect to lead the architecture, design, and implementation of enterprise-scale application development projects. This role works closely with business stakeholders, development teams, infrastructure teams, and client leadership to define scalable, secure, and high-performing application architectures. The position requires expertise in the Microsoft technology stack, cloud-native architectures, AI-enabled engineering practices, integration patterns, Dev Ops practices, and solution governance.

Key Responsibilities Define end-to-end solution architecture for enterprise application development initiatives. Lead architecture discussions with client stakeholders and business teams. Design scalable, secure, and high-availability applications using .NET technologies. Drive AI-enabled application modernization and intelligent automation initiatives. Architect AI-assisted developer productivity and operational solutions. Integrate AI/ML services into enterprise applications and business workflows. Provide technical leadership to development teams during implementation.

Create architecture blueprints, solution design documents, and technical roadmaps. Ensure adherence to enterprise architecture standards, security guidelines, and best practices. Drive modernization initiatives, including monolith-to-microservices transformation. Design API-first and event-driven architectures. Collaborate with Dev Ops teams for CI/CD implementation and deployment automation. Perform architecture reviews, code reviews, and technical governance activities. Support estimation, technical proposal preparation, and solution planning. Work closely with QA, infrastructure, security, and operations teams.

Identify technical risks and provide mitigation strategies. Mentor developers and technical leads.

Required Qualifications Experience 12+ years of application development experience. 5+ years in a Solution Architecture role. Experience handling enterprise-scale application development projects. Strong experience in client-facing onsite coordination. Experience working in an Agile/Scrum delivery model. Experience in application modernization and cloud migration initiatives. Strong understanding of performance optimization and scalability. Core Technologies Strong experience with: C# ASP.NET Core .NET Framework / .NET

6/7/8 Web API Entity Framework LINQ Architecture & Design Microservices Architecture Event-Driven Architecture Domain-Driven Design (DDD) RESTful APIs SOA Architecture Design Patterns Multi-tier Application Architecture Frontend Technologies Angular or React (preferred) JavaScript / Type Script HTML5, CSS3 Cloud & Dev Ops Azure or AWS cloud platforms Docker and Kubernetes CI/CD pipelines Azure Dev Ops, Git Hub Actions, or Jenkins Infrastructure as Code understanding Database Technologies SQL Server PostgreSQL or MySQL No

SQL databases (preferred) Integration & Messaging Kafka, RabbitMQ, or Azure Service Bus API Gateway Third-party system integrations Security OAuth2 JWT SSO Secure coding practices AI & Modern Engineering Skills Experience integrating AI/ML capabilities into enterprise applications. Knowledge of Generative AI and Large Language Model (LLM) concepts.

Experience with :
OpenAI APIs Microsoft Azure AI Services AI copilots and intelligent assistants Understanding of:
Retrieval-Augmented Generation (RAG) Prompt Engineering AI orchestration frameworks Vector databases AI agents and autonomous workflows Experience implementing AI-enabled SDLC and developer productivity accelerators. Exposure to AIOps and intelligent monitoring frameworks. Familiarity with AI-assisted code generation and modernization tools. Understanding of Responsible AI and AI security principles. Preferred Skills TOGAF or cloud certifications preferred.

Experience with AI-assisted development tools.

Experience with observability and monitoring tools such as:
Datadog Dynatrace Knowledge of AIOps and automated operational frameworks. Experience in Zero Ops/self-healing platform implementations.…
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