Staff Backend Engineer, Platform & Data Systems

Rippling; Seattle (WA); On-site; USD 189,000 - 315,000; Full time

Job summary

Rippling seeks a Senior Backend Engineer to help build core services and data platforms at scale. The role focuses on distributed processing engines and databases, collaborating with architects and senior developers to ship robust systems.

You will write testable, high-performance backend code using Python and modern data tech like MongoDB, Kafka, Aurora, Trino/Presto, Pinot, Iceberg and Flink, while mentoring less-experienced engineers and owning substantial parts from idea to production.

Qualifications

• 8+ years experience in backend engineering roles.
• Experience writing testable and performant backend code.
• Experience working in a fast-paced, dynamic environment.
• Experience mentoring less-experienced developers.
• Ability to thrive with 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

Distributed processing

Backend engineering

Autonomy

Mentoring

Testable code

Performance

Tools

Python

MongoDB

CDC

Kafka

Aurora

Trino

Presto

Pinot

Iceberg

Flink

Job description

Rippling seeks a Senior Backend Engineer to help build core services and data platforms at scale. The role focuses on distributed processing engines and databases, collaborating with architects and senior developers to ship robust systems.

You will write testable, high-performance backend code using Python and modern data tech like MongoDB, Kafka, Aurora, Trino/Presto, Pinot, Iceberg and Flink, while mentoring less-experienced engineers and owning substantial parts from idea to production.