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

Job in Campbell, Santa Clara County, California, 95011, USA
Listing for: Doist
Full Time position
Listed on 2026-08-17
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software), Software Architect, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below

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

Location:

Campbell, CA
- Hybrid Position Overview

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 EngineeringLLM 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.jsNext.jsType Script Java Script 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 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.
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Position Requirements
3+ Years work experience
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