Staff Software Engineer - Payroll Orchestration

Rippling

New York (NY)

Presencial

USD 180.000 - 315.000

Jornada completa

hace 20 horas
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Descripción de la vacante

Rippling is seeking a Staff Software Engineer to advance its payroll orchestration engine. You will design and implement scalable distributed systems that power payroll across multiple countries, leveraging message queues, job flow systems, and bidirectional data pipelines.

You will work on core payroll components with a strong emphasis on concurrency, observability, and reliability. You will collaborate with cross-functional teams to ensure accurate payroll processing, high availability, and

Formación

  • 8+ years of professional software engineering experience.
  • Proficiency in Go or Python and building scalable services.
  • Strong knowledge of message queues and workflow orchestration.
  • Experience with MongoDB and PostgreSQL; Snowflake/ClickHouse is a plus.

Responsabilidades

  • Design, develop, and maintain distributed payroll systems with a platform mindset.
  • Write clean, well-documented code and maintainability.
  • Ensure data consistency with advanced concurrency controls and message ordering.
  • Orchestrate payroll workflows using Temporal and other queues; ensure reliable delivery and execution.
  • Build efficient data pipelines and bidirectional data flows for analytics and payroll processing.
  • Model payroll data with bi-temporal approaches for accuracy and auditability.
  • Collaborate with cross-functional teams to meet strategic goals and deliver projects on time.
  • Implement observability through metrics, logs, and tracing; maintain system health.
  • Design for high availability and four to five nines uptime of critical payroll services.

Conocimientos

Distributed systems
Go/Python
Concurrency control
Message queues
Temporal
Kafka
MongoDB
PostgreSQL
Snowflake
ClickHouse
Data pipelines

Herramientas

Temporal
Kafka

Descripción del empleo

Staff Software Engineer - Payroll Orchestration

Rippling New York, New York, United States

About this position
About Rippling

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.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @ Rippling.com addresses.

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 is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accommodations@rippling.com

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.

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.

The pay range for this role is: 180,000 - 315,000 USD per year(US San Francisco Bay Area)

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