Hiring a Senior Full Stack Engineer to design, build, and
operate secure, scalable products and integrations across our global mobility
platform. You will deliver hands-on engineering across Next.js and React front
ends and C# and .NET services running on Microsoft Azure, operating in a
regulated, global environment. This role is for an experienced engineer who can
own end-to-end features, contribute to architectural decisions, and
consistently deliver production-ready solutions using agentic development practices
including spec-driven development and agent-driven development with tools such
as Claude Code and Codex. You will build AI-native products and workflows,
integrating AI capabilities directly into the applications and services you
deliver

•Build and evolve modern web experiences using Next.js,
React, and TypeScript with a focus on performance, reliability, and usability.

•Design and implement backend services and APIs using C#, .NET, and WebAPI,
including integrations that support payroll, tax, and immigration workflows.

•Deliver Azure-native implementations using Microsoft PaaS services, secure
patterns, and operational best practices.

•Contribute to system architecture and technical design, including integration
patterns using REST and event-driven approaches.

•Own production readiness for your work including logging, monitoring and
alerting, incident response support, and operational documentation.

•Apply secure development practices appropriate for regulated environments
including privacy, auditability, and data protection.

•Partner with product, implementation, and client-facing teams to translate
requirements into technical plans and deliverables.

•Use agentic development practices including agent-driven development with
Claude Code, Codex, or similar AI coding agents to accelerate design,
implementation, testing, and operations across the SDLC.

•Work in a spec-driven development workflow, authoring detailed specifications
that guide both human and AI agent implementation, translating clear
requirements into predictable delivery and maintainable code.

•Design and implement AI-powered features within products including prompt
engineering, LLM integration, retrieval-augmented generation (RAG) patterns,and AI-assisted user workflows.