NET Solution Architect

This opportunity is competitive and the required turnaround time for quality talent is rather slim. With that, please confirm whether or not you'll have talent available for our review over the next 24-72 hours. Please feel free to reach out if you need me to clarify the qualification criteria or the scope of responsibilities., 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, DevOps practices, and solution governance., * 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 DevOps 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., Essential Duties and Responsibilities: - Oversee and interface with the developers to design, develop, test and implement critical functionality and POCs. - Work with clients to …

• 1 day ago

Recruiter Focus: Target senior Solution Architects with 12+ years of .NET application development experience and 5+ years in architecture roles, ideally leading enterprise-scale modernization and cloud initiatives. Prioritize candidates with strong Azure/AWS, microservices, DevOps, and AI/GenAI integration experience, along with proven client-facing stakeholder management skills., * 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 / TypeScript
• HTML5, CSS3

Cloud & DevOps

• Azure or AWS cloud platforms
• Docker and Kubernetes
• CI/CD pipelines
• Azure DevOps, GitHub Actions, or Jenkins
• Infrastructure as Code understanding

Database Technologies

• SQL Server
• PostgreSQL or MySQL
• NoSQL 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 ZeroOps/self-healing platform implementations.

Education

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Nice to Have

• Experience in enterprise digital transformation programs.
• Exposure to GenAI-assisted SDLC workflows.
• Experience in platform engineering and reusable accelerator frameworks.
• Knowledge of enterprise integration ecosystems.
• Experience with AI-driven monitoring, observability, and self-healing platforms.

Soft Skills

• Excellent communication and stakeholder management skills.
• Strong problem-solving and analytical abilities.
• Ability to lead distributed teams.
• Strong presentation and architecture documentation skills.
• Ability to work directly with client leadership teams.