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.

What Youll Do

- 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.





- Evaluate, integrate, and operationalize AI APIs, models, and toolchains within application architectures, ensuring responsible AI usage, cost management, and observability.

- Mentor and support other engineers through code reviews, pairing, and technical guidance.

Required Qualifications

- 5+ years professional software development experience building enterprise web applications and services.

- Strong experience designing and building large JavaScript applications with Next.js and or React (TypeScript, state management, performance optimization).

- Robust backend development experience in C# and .NET (ASP.NET, WebAPI, MVC) including API design and service patterns.

- Proven experience with Microsoft Azure designing and building cloud solutions using PaaS services, frameworks, and operational tooling.

- Experience delivering systems in regulated or compliance-oriented environments (security controls, auditability, privacy, data handling).

- Strong engineering fundamentals including design patterns, separation of concerns, scalable architecture, and pragmatic trade-offs.

- Experience with agentic or AI-assisted development workflows such as spec-driven development, agent-driven development using tools like Claude Code or Codex, or similar AI coding agent practices.

- Demonstrated ability to build products that incorporate AI capabilities including prompt design, LLM API integration, or AI-augmented user experiences.

Preferred Qualifications

- Azure certifications and/or Microsoft certifications.

- Experience with event-based and distributed systems including messaging and asynchronous workflows.

- Data and persistence experience with SQL Server and ORMs (Entity Framework, nHibernate) plus caching strategies.

- Strong testing discipline including TDD and BDD, xUnit, Jest or Mocha, CI/CD automation, and quality gates.





- Experience building analytics and reporting with BI and data visualization tools and domain-specific reporting.

- Exposure to mobile ecosystems (iOS and Android) and API design supporting mobile clients.

- Experience with prompt engineering patterns, RAG architectures, vector databases, or AI orchestration frameworks (e.g., LangChain, Semantic Kernel, Azure AI Services).

- Familiarity with AI code generation and review workflows, including evaluating and curating AI-generated code for production readiness.

- Experience contributing to or building AI-augmented internal tools, developer experience tooling, or intelligent automation within engineering workflows.

Technical Skills We Value

- Frontend: Next.js, React, TypeScript, HTML, CSS, SPA architecture, performance and accessibility

- Backend: C#, ASP.NET, WebAPI, RESTful design, authentication and authorization patterns

- Cloud: Azure PaaS services, observability, secure networking, identity, deployment automation

- Engineering practices: Git-based workflows, secure SDLC, spec-driven development, AI-assisted code reviews, automated testing, documentation

- AI-enabled delivery: agentic development using Claude Code, Codex, or similar AI coding agents; spec-driven development workflows; prompt engineering; LLM API integration; RAG patterns; AI orchestration frameworks; responsible AI practices and observability

What Success Looks Like

- Delivers complex features end-to-end with high quality, predictable timelines, and production readiness.

- Produces clean, maintainable code—whether hand-written or AI-generated—with strong test coverage and clear documentation.

- Identifies and resolves performance, reliability, and security issues before they reach production.

- Contributes meaningfully to architecture and raises standards through code reviews and technical leadership.

- Communicates clearly, flags risks early, and collaborates effectively across teams.

- Effectively leverages agentic development tools and AI-augmented workflows to increase velocity while maintaining quality and security standards.

Education

- Bachelor’s degree in Computer Science, Engineering, or related field required.

- Master’s degree preferred.

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