Senior Distributed Systems Engineer (Payroll Platform)

Rippling; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Rippling is seeking a distributed systems engineer to design and implement the core payroll engine across multiple countries. You will build scalable platforms using message queues, job flow systems, and bitemporal data models to ensure accurate payroll processing.

The role emphasizes concurrency control, observability, and high availability, with collaboration across cross-functional teams to align on strategic goals and deliver high-impact payroll solutions.

Qualifications

• 8+ years of professional software engineering experience.
• Proficient in a modern programming language (Go or Python).
• Experience with distributed systems, message queues, and data pipelines.

Responsibilities

• Design, develop, and implement distributed systems with a platform mindset.
• Write clean, maintainable, and well-documented code.
• Demonstrate expertise in concurrency control and message ordering for data consistency in payroll processing.
• Orchestrate complex workflows using message queues and job flow systems (e.g. Temporal).
• Develop efficient data pipelines and bidirectional data flows for payroll engines.

Skills

Go

Python

Distributed systems

Concurrency control

Communication

Tools

Temporal

Kafka

Job description

Rippling is seeking a distributed systems engineer to design and implement the core payroll engine across multiple countries. You will build scalable platforms using message queues, job flow systems, and bitemporal data models to ensure accurate payroll processing.

The role emphasizes concurrency control, observability, and high availability, with collaboration across cross-functional teams to align on strategic goals and deliver high-impact payroll solutions.