Senior Full Stack Engineer

You’ll help build and scale the technology behind Compensation Collection, Shadow Payroll, and Equity—the engines that keep globally mobile employees of the world’s largest multinationals paid accurately, taxed correctly, and compliant across dozens of jurisdictions. You’ll modernize and operate a platform that sits at the intersection of complex tax regulations, sensitive financial and personal data, and high-stakes global payroll and equity events. You’ll also work at the forefront of AI-augmented engineering, using agentic development practices and building AI-powered product experiences that redefine how global mobility compensation, payroll, and equity technology is delivered.

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 for tax, payroll, and mobility operators.

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 integration patterns using REST, file-based feeds, and event-driven approaches.

Own production readiness for your work including logging, monitoring and alerting, reconciliation tooling, incident response support, and operational documentation—critical for payroll cycles and equity event deadlines that cannot slip.

Apply secure development practices appropriate for handling 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 both 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 (RAG) 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.

Delivers complex Compensation Collection, Shadow Payroll, and Equity features end-to-end with high quality, predictable timelines, and production readiness aligned to payroll cycles and equity event deadlines.

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

Identifies and resolves performance, reliability, accuracy, and security issues before they reach production or affect a client’s payroll or equity event.

Contributes meaningfully to architecture and raises standards through code reviews and technical leadership across the compensation, payroll, and equity domains.

Communicates clearly with engineering, product, and domain experts; flags risks early; and collaborates effectively across teams and geographies.

Effectively leverages agentic development tools and AI-augmented workflows to increase velocity while maintaining the quality, accuracy, and security standards required for regulated financial workflows.

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

Master’s degree preferred.

This job is based in our Bangalore office, with the possibility of a hybrid work mode

We are an equal opportunity employer that does not discriminate on the basis of any legally protected status

Please note that AI is used as part of the application process