Solutions Architect (.NET, React, , Azure & Agentic AI)
Campbell, OH - USA
Job Summary
Role: Solutions Architect (.NET React/ Azure & Agentic AI)
Duration: Long Term
Location: Campbell CA- Hybrid
Position Overview
We are seeking a highly skilled and hands-on Solutions Architect to design build and operate secure scalable and AI-enabled products and integrations across Vialtos global technology platform. This role requires a strong engineering leader who can deliver end-to-end solutions across modern web applications cloud-native services and AI-powered workflows while contributing to architectural strategy and technical excellence.
The ideal candidate will possess deep expertise in React/ C#/.NET Microsoft Azure distributed systems security and modern software architecture principles. This individual will leverage agentic development practices including AI-assisted development tools such as Claude Code Codex and similar coding agents to accelerate delivery while maintaining enterprise-grade quality security and compliance standards.
Application Development
- Design develop and maintain modern web applications using React TypeScript HTML and CSS.
- Build scalable backend services and APIs using C# Core Web API technologies.
- Deliver secure and performant enterprise applications supporting payroll tax immigration and other business-critical workflows.
- Design and implement reusable UI components shared libraries and design systems.
Cloud & Platform Engineering
- Build and operate cloud-native solutions utilizing Microsoft Azure PaaS services.
- Implement secure deployment architectures networking identity management and operational tooling.
- Develop and maintain highly available fault-tolerant and scalable cloud services.
- Establish observability using:
- Azure Application Insights
- OpenTelemetry
- Distributed tracing
- Structured logging
- Monitoring and alerting frameworks
Architecture & Integration
- Contribute to enterprise architecture decisions and technical roadmaps.
- Design REST-based and event-driven integration architectures.
- Build scalable microservices and micro-frontend architectures.
- Architect and implement:
- App Router
- Zones
- Webpack Module Federation
- Nx/Turborepo Monorepo environments
- Define integration patterns supporting enterprise-scale workloads and cross-platform interoperability.
AI & Agentic Development
- Design and build AI-native applications and workflows.
- Implement AI-powered capabilities including:
- Prompt Engineering
- LLM API Integration
- Retrieval-Augmented Generation (RAG)
- AI-assisted business workflows
- Leverage AI coding agents such as:
- Claude Code
- Codex
- GitHub Copilot
- Similar AI development tools
- Utilize spec-driven development methodologies to guide both human and AI-assisted implementation.
- Evaluate and operationalize AI models APIs orchestration frameworks and toolchains.
Security & Compliance
- Implement secure software development practices suitable for regulated environments.
- Design solutions incorporating:
- OAuth 2.0
- RBAC (Role-Based Access Control)
- Data Encryption at Rest and In Transit
- Privacy Controls
- Auditability Requirements
- Ensure compliance with enterprise security and governance standards.
Leadership & Collaboration
- Mentor engineering teams through code reviews pair programming and technical coaching.
- Collaborate closely with Product Business Implementation and Client-facing teams.
- Drive engineering best practices across development testing deployment and operations.
Required Qualifications
- Bachelors degree in Computer Science Engineering or related discipline.
- 5 years of professional software engineering experience building enterprise-grade applications.
- Strong hands-on expertise in:
- TypeScript
- JavaScript
- Strong backend development experience with:
- C#
- Core
- .NET
- Web API
- MVC Frameworks
- Extensive experience designing and implementing Microsoft Azure cloud solutions.
- Proven expertise with:
- System Design
- Design Patterns
- Security Architecture
- Scalable Distributed Systems
- Performance Optimization
- Experience working in highly regulated and compliance-driven environments.
- Strong understanding of secure SDLC practices and software architecture principles.
- Experience using AI-assisted development methodologies and agentic development workflows.
- Demonstrated experience integrating AI capabilities into production applications.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Contract