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.Net Solution Architect

CIS Technologies Inc.Campbell, CA🇺🇸United StatesPosted Sep 17, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Campbell, CA, United States
Posted
Yesterday
MicroservicesNext.jsEncryptionOAuthAzureC#CSS.NETASP.NETHTMLJavaScriptLLMRESTReactTypeScript

Job Description

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

Location: Campbell, CA Hybrid

Employment Type: Contract W2

Summary

Hands-on Solutions Architect to design and build secure, scalable, AI-enabled web applications and integrations across a global platform. Requires strong engineering leadership across modern web, cloud-native services, and AI-powered workflows.

Responsibilities

  • Build modern web apps with Next.js, React, TypeScript, HTML/CSS
  • Build backend services/APIs with C#, ASP.NET Core, Web API, .NET
  • Design reusable UI components, shared libraries, and design systems
  • Build cloud-native solutions on Azure PaaS (secure deployments, networking, identity, observability via App Insights, OpenTelemetry, distributed tracing, structured logging)
  • Contribute to enterprise architecture, roadmaps, and integration patterns (REST, event-driven, microservices, micro-frontends)
  • Architect Next.js App Router, Zones, Module Federation, Nx/Turborepo monorepos
  • Design AI-native apps: prompt engineering, LLM API integration, RAG, AI-assisted workflows
  • Use AI coding agents (Claude Code, Codex, GitHub Copilot) with spec-driven development
  • Implement security: OAuth 2.0, RBAC, encryption, privacy, auditability
  • Mentor engineers; drive engineering best practices

Required Skills and Experience

  • Bachelors in CS/Engineering or related
  • 5+ years enterprise software engineering
  • Strong hands-on: React.js, Next.js, TypeScript, JavaScript
  • Strong backend: C#, ASP.NET Core, .NET, Web API, MVC
  • Extensive Azure cloud solution design experience
  • Expertise in system design, design patterns, security architecture, distributed systems, performance optimization
  • Experience in regulated/compliance-driven environments and secure SDLC
  • Experience with AI-assisted/agentic development workflows
  • Demonstrated production AI integration experience

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