Technical Principal Engineer (.NET, React​/Next.js, Azure & AI

Role:
Technical Principal Engineer (.NET, React/Next.js, Azure & AI)

Location: Hybrid

Rate: $60-70/hr

Employment Type: Contract

Look for 15+ years exp

ONLY H1B Candidate

We are seeking a highly skilled and hands‑on Technical Principal Engineer 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.

• 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.
• 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:
• Open Telemetry
• Distributed tracing
• Structured logging
• Monitoring and alerting frameworks
• 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:
• Define integration patterns supporting enterprise‑scale workloads and cross‑platform interoperability.

• 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:
• Codex
• 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.

• 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.
• 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.

• Bachelor's degree in Computer Science, Engineering, or related discipline.
• 5+ years of professional software engineering experience building enterprise‑grade applications.
• React.js
• Next.js
• Type Script
• Strong backend development experience with:
• C#
• .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.