# Senior Staff Engineer - Global Payroll

**Company:** [Rippling](https://hotfix.jobs/companies/rippling)
**Location:** London, United Kingdom
**Role:** Backend Engineering
**Experience:** 8+ years
**Skills:** Python, Django, React, MongoDB, AWS, AI/ML, Data Modeling, System Design, Internationalization, Payroll Systems
**Posted:** 2026-08-12

> Architect and scale Rippling’s global payroll platform across countries, entities, and currencies, using modern engineering and AI/ML-driven automation. The role requires 8+ years of production-systems experience, strong architecture and data-modeling expertise, and the ability to lead technical initiatives across teams.

## Job Description

## Responsibilities
- Design and build scalable, data-driven systems that transform, normalize, and reconcile payroll data across multiple countries, entities, and currencies.
- Re-architect critical systems for scalability, reliability, and internationalization to enable global payroll operations at scale.
- Develop AI- and ML-driven solutions to enhance accuracy, detect anomalies, automate workflows, and minimize manual intervention.
- Define and execute the long-term architectural vision for the global payroll platform while balancing innovation with compliance, stability, and performance.
- Collaborate with product, design, finance, legal, compliance, data, and operations teams to deliver cohesive and compliant solutions.
- Champion customer-focused engineering and operational excellence.
- Mentor and lead engineers while fostering high standards of technical quality, thoughtful design, and engineering best practices.
- Influence stakeholders across multiple teams and time zones to drive shared product and technical goals.

## Requirements
- 8+ years of experience building and scaling production systems.
- Experience with Python, Django, React, MongoDB, and AWS.
- Ability to architect, own, and deliver complex, platform-scale projects end to end.
- Strong background in data modeling, system design, and modern architecture patterns.
- Experience or strong interest in applying AI/ML to automation and intelligent data systems.
- Experience building extensible, compliant solutions for multiple countries.
- Track record of modernizing legacy systems and driving large-scale transformation.
- Strong communication, collaboration, and stakeholder management skills.
- Product mindset focused on impact, reliability, and customer value.
- Proactive, growth-oriented approach to solving complex global challenges.

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