Staff Software Engineer - Payroll Orchestration

About the role

We're looking for a talented Distributed Systems Engineer to join our core payroll team and play a key role in designing and implementing the distributed systems that drive our core payroll engine for several major countries. You'll be responsible for building and maintaining highly scalable platforms that leverage message queues, job flow systems, bitemporal data models, and efficient data pipelines to ensure accurate and timely payroll processing.

What you will do

• Design, develop, and implement distributed systems with a strong platform mindset.
• Write clean, maintainable, and well-documented code.
• Demonstrate expertise in concurrency control mechanisms and message ordering techniques to ensure data consistency in payroll processing.
• Utilize message queues and job flow systems (e.g Temporal) to orchestrate complex workflows related to payroll engine and payments processing, guaranteeing message delivery and job execution.
• Develop efficient data pipelines utilizing different transactional and analytical query engines to deliver fast data aggregates that power the payroll engine.
• Leverage bitemporal data modeling techniques to effectively manage payroll data flows.
• Collaboration: Work closely with cross-functional engineering teams to align on strategic goals and ensure successful project delivery.
• Observability: Implement comprehensive observability practices, including monitoring, logging, and tracing, to ensure system health and performance
• Resiliency and SLAs: Develop and maintain critical payroll platform systems with high availability and reliability, targeting four or five 9s uptime.

What you will need

• 8+ years of professional experience as a software engineer
• Proficiency in a modern programming language (e.g. Go, Python).
• Comfortable at developing scalable and extendable core services and primitives with good abstractions that are used in many product flows.
• You have seen systems operating at a significant organizational scale.
• Solid understanding of message queues and job flow systems (e.g., Temporal, Kafka)
• In-depth knowledge of concurrency control mechanisms and message ordering techniques.
• Experience with DB transactional (e.g., Mongo, PostgreSQL) and analytical query engines (e.g, Snowflake, Clickhouse), and optimizing queries for performance.
• Excellent communication and collaboration skills.
• Ability to work independently and take ownership of projects, while also thriving in a team environment.

Additional Information

Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.

Pay and benefits

This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.

A variety of factors are considered when determining someone's compensation-including a candidate's professional background, experience, and location. Final offer amounts may vary from the amounts listed below.