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

Summary

Designs and builds secure, AI-enabled enterprise apps using .NET, React/Next.js, and Azure, while leading architecture and AI integration in a regulated fintech environment.

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

Position Overview

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.

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.
  • 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:
  • OpenTelemetry
  • 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.

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:
  • 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 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.
  • 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.
  • React.js
  • Next.js
  • TypeScript
  • 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.

See also

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