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RipplingRipplingNew York, NY

Staff Software Engineer - Events Platform

Lead mission-critical projects and deliver data ingestion capabilities for Rippling's Events Platform. This role involves building highly scalable distributed data ingestion systems and a data lake architecture, processing over a billion events daily, and influencing company-wide architecture and technology selections.

189k – 331k
Hybrid8+ YOEBackend Engineering

About the role

About the role

The Events Platform team at Rippling builds the foundational infrastructure that powers a fully event-driven architecture across the company. As a core platform building block, the team enables systems to seamlessly emit, process, and react to events—unlocking critical capabilities like workflow automation, audit logging, and real-time product experiences.

Operating at significant scale, the platform processes over a billion events per day and continues to grow at ~10% month over month, making it one of the most critical and high-impact systems within Rippling. In addition to providing core platform primitives and supporting engineering teams across the company, the team has also shipped Audit Log, a product that powers the auditing solution across Rippling. The team focuses on building highly reliable, scalable, and developer-friendly primitives that accelerate product development and ensure consistency across the ecosystem.

What you will do

  • Lead mission-critical projects and deliver data ingestions capabilities end-to-end with high quality
  • Have clear ownership of one or many products, APIs or platform spaces
  • Work within Rippling's central infrastructure team, responsible for delivering highly scalable distributed data ingestion systems, build a data lake architecture for various downstream systems to consume
  • Get exposure to partners and customers in different business domains, who will help provide feedback for your product space
  • Ensure operational excellence and scale the platform capabilities to serve many Rippling Products
  • Build and grow your engineering skills in different challenging areas and solve hard technical problems
  • Influence architecture, technology selections, and trends of the whole company

What you will need

  • 8+ years of professional work experience as a backend engineer
  • Significant leadership experience driving complex cross-functional projects across teams, product managers, designers, etc
  • Expertise in building complex distributed services with high availability and strict SLAs
  • Experience building large-scale user-facing applications, APIs, and developer tools
  • Strong CS fundamentals, and knowledge of architecture and common design patterns
  • You’re passionate about being in a product-focused environment where everyone cares deeply about customer impact
  • You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink.

Bonus points if you’ve built

  • Integrations with 3rd party SaaS providers and workflow orchestration systems
  • Previously worked with AWS and have working knowledge of observability tooling

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.

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.

Skills

SparkFlinkAWSDistributed SystemsAPIsSystem DesignBackend DevelopmentData ProcessingWorkflow OrchestrationObservability
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