Senior Full Stack Engineer

Overview

Design, build and operate secure, scalable products for Compensation Collection, Shadow Payroll and Equity, delivering end-to-end features across Next.js/React front ends and C#/.NET services on Microsoft Azure, with AI-native workflows.

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 (e.g., Workday, SAP, ADP, Shareworks, E*TRADE, Carta).
• 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 (GDPR, SOC 2, country-level payroll regulations).
• Partner with product, mobility tax, payroll and equity subject-matter experts to translate complex 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, 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, 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 of 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, with the possibility of a hybrid work mode.