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Staff Software Engineer - Payroll Orchestration

Rippling· Engineering
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Hybrid (San Francisco Bay Area)$180k - $315kfull-timePosted 11mo ago

About the role

Distributed Systems Engineer to design and implement scalable payroll engine systems across multiple countries, leveraging message queues, job flow systems, bitemporal data modeling, and data pipelines to ensure accurate and timely payroll processing.

Responsibilities

  • 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 (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.

Qualifications

  • 8+ years of professional experience as a software engineer
  • Proficiency in a modern programming language (e.g. Go, Python)
  • Comfortable developing scalable and extendable core services and primitives with good abstractions used in many product flows
  • Experience with systems operating at 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 thriving in a team environment

Skills

Required:Distributed systems designConcurrency controlMessage queues and job flow systemsData pipelinesBitemporal data modelingDBs and query optimizationCommunication and collaboration

Benefits

  • Competitive salary
  • Benefits
  • Equity
  • Office-based policy with in-office requirement for eligible roles
Last updated Oct 7, 2026. Interested? Apply on the company site.
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About Rippling

#1 Workforce Management System | HR, IT, Finance

Rippling eliminates the friction from running a business, combining HR, IT, and Finance apps on a unified data platform.

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