Leads mission-critical projects to build scalable distributed data ingestion systems and data lake architecture powering ML models and Rippling products. Requires 8+ years backend experience, expertise in high-availability services, data processing frameworks like Spark/Flink, and cross-functional leadership.
Salary not listed
Hybrid8+ YOEBackend Engineering
About the role
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 different UCs across 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
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 systemsBonus points if you’ve previously worked with AWS and have working knowledge of observability tooling
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