Solutions Architect | .NET, React/Next.js, Azure & Agentic AI | Hybrid | 14+ years of experience

Role: Solutions Architect (.NET, React/Next.js, Azure & 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 Vialto's 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/Next.js, 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 Next.js, React, TypeScript, HTML, and CSS . Build scalable backend services and APIs using C#, ASP.NET Core, Web API, and .NET 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: Next.js App Router Next.js 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 Bachelor's degree in Computer Science, Engineering, or related discipline. 5+ years of professional software engineering experience building enterprise-grade applications. Strong hands-on expertise in: React.js Next.js TypeScript JavaScript Strong backend development experience with: C# ASP.NET 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. All your information will be kept confidential according to EEO guidelines.