Senior Full Stack Engineer

Overview

Senior Full Stack Engineer to design, build, and operate secure, scalable products powering Compensation Collection, Shadow Payroll, and Equity offerings for multinational employers, working across Next.js/React front ends and C#/.NET services on Microsoft Azure.

What you'll do

• Build and evolve modern web experiences for Compensation Collection, Shadow Payroll, and Equity products using Next.js, React, and TypeScript, with a focus on performance, reliability, and clarity.
• Design and implement backend services and APIs using C#, .NET, and WebAPI to support compensation data ingestion, cross-border payroll calculations, equity event processing, and integrations with client HR, payroll, and equity administration systems.
• Deliver Azure-native implementations of shadow payroll calculation engines, compensation aggregation pipelines, and equity tax event workflows using Microsoft PaaS services, secure patterns, and operational best practices.
• Contribute to system architecture and technical design for multi-country payroll, compensation, and equity domains, including REST, file-based feeds, and event-driven integration patterns.
• Own production readiness for your work, including logging, monitoring and alerting, reconciliation tooling, incident response support, and operational documentation.
• Apply secure development practices for sensitive compensation, payroll, and equity data, including privacy, auditability, segregation of duties, and country-specific data protection requirements.
• Partner with product, mobility tax, payroll, and equity subject-matter experts to translate regulatory and client 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, including country-specific shadow payroll rules and equity tax treatment, that guide human and AI agent implementation.
• Design and implement AI-powered features within Compensation Collection, Shadow Payroll, and Equity products, including intelligent data extraction from compensation statements, anomaly detection on payroll inputs, LLM-assisted user workflows, and retrieval-augmented generation over tax and payroll guidance.
• Evaluate, integrate, and operationalize AI APIs, models, and toolchains within application architectures, ensuring responsible AI usage, cost management, and observability, especially where AI touches financially material outputs.
• Mentor and support other engineers through code reviews, pairing, and technical guidance on payroll, compensation, and equity domain patterns.

What you'll need

• 5+ years professional software development experience building enterprise web applications and services, ideally including payroll, compensation, equity, HR, finance, or tax domains.
• Strong experience designing and building large JavaScript applications with Next.js and/or React (TypeScript, state management, performance optimization).
• Strong backend development experience in C# and .NET (ASP.NET, WebAPI, MVC), including API design and service patterns for high-integrity calculation and data-processing systems.
• 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, sensitive financial or personal data handling).
• Strong engineering fundamentals including design patterns, separation of concerns, scalable architecture, and pragmatic trade-offs, with attention to accuracy and reconciliation in calculation-heavy systems.
• 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.
• Bachelor's degree in Computer Science, Engineering, or related field.

Nice to have

• Direct experience building or integrating with payroll, shadow payroll, compensation collection, equity administration, or global mobility tax platforms.
• Familiarity with cross-border compensation concepts: gross-to-net calculations, hypothetical tax, tax equalization, modified shadow payroll, and equity-related compensation events (RSU vest, ISO/NSO exercise, ESPP).
• Experience integrating with HCM, payroll, and equity systems such as Workday, SAP SuccessFactors, ADP, Ceridian/Dayforce, Shareworks, E*TRADE, Carta, or country-specific payroll engines.
• Azure certifications and/or Microsoft certifications.
• Experience with event-based and distributed systems, including messaging and asynchronous workflows for payroll cycles and equity event processing.
• Data and persistence experience with SQL Server and ORMs (Entity Framework, nHibernate) plus caching strategies; experience modeling compensation, payroll, and equity data.
• Strong testing discipline including TDD and BDD, xUnit, Jest or Mocha, CI/CD automation, and quality gates, especially for calculation engines requiring reconciliation and regression coverage.
• Experience building analytics and reporting with BI and data visualization tools, including payroll reconciliation, compensation analytics, and equity reporting.
• Exposure to mobile ecosystems (iOS and Android) and API design supporting mobile clients for assignee/employee experiences.
• 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 in regulated financial workflows.

Details

• Location: Bangalore office (Bengaluru, Karnataka, India), with the possibility of a hybrid work mode.
• Equal opportunity employer that does not discriminate on the basis of any legally protected status.
• AI is used as part of the application process.