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 InsightsOpenTelemetryDistributed tracingStructured loggingMonitoring 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 RouterNext.js ZonesWebpack Module FederationNx/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 EngineeringLLM API IntegrationRetrieval-Augmented Generation (RAG)AI-assisted business workflows
• Leverage AI coding agents such as:Claude CodeCodexGitHub CopilotSimilar 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 2.0RBAC (Role-Based Access Control)Data Encryption at Rest and In TransitPrivacy ControlsAuditability 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.jsNext.jsTypeScriptJavaScript
• Strong backend development experience with:C#ASP.NET Core.NETWeb APIMVC Frameworks
• Extensive experience designing and implementing Microsoft Azure cloud solutions.
• Proven expertise with:System DesignDesign PatternsSecurity ArchitectureScalable Distributed SystemsPerformance 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.