Senior Software Engineer - Data Infrastructure

About Rippling

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @ Rippling.com addresses.

About the role :

Rippling is the system of record for employee data - a complete Employee Management System. To solve this broad problem, a variety of applications and datasets need to come together as a graph connected through the employee record at its center.

We need a data platform to make it easy to make all forms of data accessible for different use cases, perform various transformations and query efficiently for a variety of online and offline use cases. You will be working on building this distributed data platform, defining key APIs, designing to scale, high availability, and handling both online, streaming and batch scenarios.

At Rippling, to support various use cases we use Redis, Mongo, Postgres to serve APIs, Kafka for streaming, Apache Pinot and Apache Presto for OLAP, and S3 and Snowflake for data lake and warehousing.

What You'll Do :

• Work on distributed processing engines and distributed databases.
• Create data platforms, data lakes, and data ingestion systems that work at scale.
• Write core libraries (in python and golang) to interact with various internal data stores.
• Define and support internal SLAs for common data infrastructure
• Design, develop, code, and test software systems, improvements, products and user-facing experiences
• Leverage big data technologies like Postgres, Kafka, Presto, Pinot, Flink, Airflow, Mongo, Redis and Spark.
• Explore new and upcoming data technologies to support Rippling’s exponential growth

Qualifications :