Senior Platform Engineer - Distributed Systems & Data

Rippling; Seattle (WA); On-site; USD 168,000 - 280,000; Full time

Benefits offered by this job

Equity

Competitive salary

Job summary

Rippling is hiring for a Platform backend engineer to help build distributed processing engines, data platforms, and the core building blocks used across products. You’ll work on scalable systems, implement new features, and contribute to the Rippling Query Language (RQL) within our analytics and data layers.

You will work with a team that values autonomy, mentorship, and hands-on ownership of complex backend components spanning data platforms, workflows, and custom fields across multiple

Qualifications

• 5+ years of backend engineering experience.
• Experience writing testable and performant backend code.
• Experience mentoring less-experienced developers.
• Ability to thrive in an environment that grants you a lot of autonomy to explore creative solutions.

Responsibilities

• Work on distributed processing engines and distributed databases.
• Develop high-quality software with attention to detail using tech stacks like 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 work at scale.
• Design, develop, code, and test software systems, improvements, products, and user-facing experiences.
• Work alongside software architects and senior developers doing state-of-the-art development work.
• Contribute to product design and implementation discussions.
• Find and build unique solutions to implement projects from the idea phase to production.

Skills

Backend engineering

Testable code

Mentoring

Autonomy

Tools

Python

MongoDB

CDC

Kafka

Aurora

Trino

Presto

Pinot

Iceberg

Flink

Job description

Rippling is hiring for a Platform backend engineer to help build distributed processing engines, data platforms, and the core building blocks used across products. You’ll work on scalable systems, implement new features, and contribute to the Rippling Query Language (RQL) within our analytics and data layers.

You will work with a team that values autonomy, mentorship, and hands-on ownership of complex backend components spanning data platforms, workflows, and custom fields across multiple