Senior Backend Engineer - Data Cloud & AI Platform

Rippling

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Equity
Competitive salary + benefits

Job summary

Rippling is building the Data Cloud team to unify data across the company for analytics, AI, and action. You will work on distributed engines, backend systems, and big data stacks with autonomy and mentorship, contributing to data platforms and scalable ingestion

Join a team that values in-office collaboration, equity, and a competitive benefits package, shaping the future of Rippling’s data foundation.

Qualifications

  • 6+ years of backend engineering experience
  • Experience writing testable and performant backend code
  • Experience mentoring less-experienced developers
  • Ability to thrive in a fast-paced, dynamic environment
  • Demonstrated autonomy to explore creative solutions

Responsibilities

  • Work on distributed processing engines and distributed databases
  • Develop high-quality software with Python, MongoDB, CDC, and Kafka
  • Leverage big data technologies like Aurora, Trino, Presto, Pinot, Iceberg, Flink and more
  • Build custom programming languages within the Rippling Platform
  • Create data platforms, data lakes, and data ingestion systems that scale
  • Design, develop, code, and test software systems and user experiences
  • Collaborate with architects and senior developers on state-of-the-art development
  • Contribute to product design and implementation discussions
  • Find and build unique solutions from idea to production

Skills

Backend engineering
Testable code
Mentoring
Autonomy
Fast-paced environment

Tools

Python
MongoDB
CDC
Kafka
Aurora
Trino
Presto
Pinot
Iceberg
Flink

Job description

Rippling is building the Data Cloud team to unify data across the company for analytics, AI, and action. You will work on distributed engines, backend systems, and big data stacks with autonomy and mentorship, contributing to data platforms and scalable ingestion

Join a team that values in-office collaboration, equity, and a competitive benefits package, shaping the future of Rippling’s data foundation.

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