.Net Solutions Architect with Next.js, Azure & AI | Hybrid | Long Term

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.