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Solutions Architect- .NET, React/Next.js, Azure & AI

Nous InfosystemsCampbell, CA🇺🇸United StatesPosted Aug 23, 2026

Why This Role Stands Out

You can elevate your career by contributing to a cutting-edge Customer 360 platform using Databricks, a role perfect for those with strong P&C insurance and data analytics expertise. This hybrid opportunity offers significant growth potential and the chance to drive impactful, data-driven outcomes within a reputable company.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Campbell, CA, United States
Posted
3 weeks ago
MicroservicesNext.jsEncryptionOAuthAzureC#CSS.NETASP.NETHTMLLLMRESTReactTypeScriptWebpack

Job Description

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. 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, 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.

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