Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.
Rippling Payroll is redefining how companies pay their people across the world -- turning payroll from a cost center into a strategic advantage. Built on Rippling Unity -- our unified workforce platform -- Payroll connects HR, IT, and Finance so every policy, approval, and pay calculation automatically stays in sync across systems and countries.
With $750M+ ARR, >23,000 customers, and >$70B in annualized payroll volume, we're building the most intelligent, automated, and compliant payroll infrastructure on the planet.
The Opportunity
We're looking for a
Senior Staff Software Engineer (P9)
to help architect and scale Rippling's
next-generation Global Payroll Platform
-- a system that powers payments, compliance, and computation for millions of employees across 50+ countries.
This role sits at the intersection of
AI-powered automation
,
compliance-as-code
, and
massive scale
-- with direct ownership over core systems that define how Rippling processes global payroll, taxes, and payments at sub-second latency and near-zero error tolerance.
-- modular, extensible, and capable of encoding multi-jurisdictional compliance logic declaratively.
Design data models and pipelines
that handle versioned pay runs, audit trails, retroactive corrections, and time-based computations at global scale.
Build scalable rules engines
to automate ever-changing tax, benefits, and labor laws across jurisdictions, ensuring compliance through dynamic, AI-generated logic.
Modernize global payment infrastructure
for real-time or near-instant disbursements while balancing reconciliation, fraud detection, and regulatory constraints.
Evolve reporting and permissions systems
to deliver real-time insights and granular access controls for complex, multi-entity organizations.
Partner with Product, Compliance, and Finance
teams to convert ambiguous regulatory specs into clear, deterministic system behavior.
Lead high-impact initiatives
like sandboxed "simulation" payrolls, AI-powered paystub explainability, and what-if analysis for enterprises.
Shape the long-term platform vision
, influencing 150+ engineers across Finance and HR Infrastructure as a multiplier, mentor, and architectural authority.
What Success Looks Like
System Reliability:
Sub-second computation accuracy for global pay runs, with zero critical compliance defects.
Extensibility:
New countries, pay types, and tax rules added with minimal engineering overhead.
Performance:
Orders of magnitude improvement in latency and cost efficiency across distributed computation.
Developer Velocity:
Simplified APIs, testing frameworks, and onboarding for internal and partner developers.
Business Impact:
Reduction in country onboarding time, payroll failure rates, and manual compliance interventions.
What We're Looking For
14+ years of experience building large-scale distributed systems in high-compliance or high-integrity domains (Finance, Payroll, Tax, Insurance, etc.).
Deep expertise in
data architecture
,
domain-driven design
, and
rule-based / event-driven systems
.
Experience scaling
compliance-heavy, multi-country systems
-- ideally payroll, tax, or financial computation platforms.
Proficiency in designing
modular service boundaries
, ensuring backward compatibility and auditability.
Strong understanding of
computation correctness
,
versioned state
,
precision handling
, and
retroactive adjustments
.
Proven ability to partner across functions -- translating legal/compliance constraints into elegant, maintainable systems.
A strong architectural voice who can both design systems and mentor teamsto scale them sustainably.
Bonus Points
Experience with
AI-driven system automation
or
compliance-as-code
frameworks.
Hands-on work with
global payroll systems
,
real-time payments
, or
statutory tax logic
.
Familiarity with
event sourcing
,
CQRS
,
streaming pipelines
, and
immutable data stores
.
Contributions to open-source distributed computation frameworks or rule engines.