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Solutions Architect NET ReactNextjs Azure AI Hybrid Long Term Local to CA

Job in Campbell, Santa Clara County, California, 95011, USA
Listing for: TMS LLC
Full Time position
Listed on 2026-07-19
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Software Architect, .NET Developer
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Position: Solutions Architect NET ReactNextjs Azure AI Hybrid Long Term 15 years exp Local to CA

Job Description Role:
Solutions Architect (.NET, React/Next.js, Azure & AI) Duration:
Long Term

Location:

Campbell, CA - Hybrid 15+ years of experience required. 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.

Key Responsibilities Application Development
  • Design, develop, and maintain modern web applications using Next.js, React, Type Script, 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
    • Open Telemetry
    • 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
    • Git Hub 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 tool chains.
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
    • Type Script
    • Java Script
  • 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.
Qualifications:

Additional Information

All your information will be kept confidential according to EEO guidelines.

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