Staff Software Engineer - AI-Native Global Payroll Platform

Rippling (Netherlands); New York (NY); On-site; USD 189,000 - 315,000; Full time

Benefits offered by this job

Equity

Benefits

Competitive salary

Job summary

Rippling is hiring Staff Engineers to redefine payroll infrastructure, scaling AI-native onboarding experiences and coordinating country expansion. You will design and own platform primitives that enable rapid market entry, with a focus on accuracy, compliance, and seamless user experience across dozens of jurisdictions.

The role emphasizes architectural leadership, hands-on coding, and collaboration with product teams to build a self-serve, highly observable system that can grow beyond today’s

Qualifications

• 8+ years of software engineering experience with sustained technical leadership.
• Expertise in architecting scalable platform and distributed systems.
• Hands-on coding with active contributions to codebase.
• Proven ability to drive cross-functional technical initiatives.
• Strong product intuition and ability to turn ambiguous requirements into durable primitives.

Responsibilities

• Architect global expansion platform to deploy payroll into new markets.
• Build AI-driven onboarding workflows that ensure accuracy and compliance.
• Translate complex regulatory gymnastics into clean backend systems and UX.
• Own core pieces of a massive transactional system for scalability and reliability.

Skills

Software engineering

Distributed systems

Platform architecture

Hands-on coding

Cross-functional leadership

LLM integration

Job description

Rippling is hiring Staff Engineers to redefine payroll infrastructure, scaling AI-native onboarding experiences and coordinating country expansion. You will design and own platform primitives that enable rapid market entry, with a focus on accuracy, compliance, and seamless user experience across dozens of jurisdictions.

The role emphasizes architectural leadership, hands-on coding, and collaboration with product teams to build a self-serve, highly observable system that can grow beyond today’s