Senior Platform Engineer - Data, RQL & Distributed Systems

Engg; Seattle, San Francisco (WA, CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Rippling is hiring for a backend-focused engineer to work on distributed processing engines, databases, and the Rippling platform. You will build high-quality software using Python, MongoDB, CDC, and Kafka, and leverage technologies like Aurora, Trino, Presto, Pinot, Iceberg, and Flink to create scalable data solutions.

Expect to design and implement data platforms, data lakes, and ingestion systems while collaborating with architects and senior developers on state-of-the-art projects and

Qualifications

• 5+ years experience in backend engineering roles.
• Experience writing testable and performant backend code.
• Experience mentoring less-experienced developers.
• Ability to thrive in an environment with substantial 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 backend-focused engineer to work on distributed processing engines, databases, and the Rippling platform. You will build high-quality software using Python, MongoDB, CDC, and Kafka, and leverage technologies like Aurora, Trino, Presto, Pinot, Iceberg, and Flink to create scalable data solutions.

Expect to design and implement data platforms, data lakes, and ingestion systems while collaborating with architects and senior developers on state-of-the-art projects and