Kajabi is undergoing a major transformation to build the next generation of its data platform, aiming to create a trustworthy and scalable internal analytics platform and production-grade analytics data for customers. The goal is to support the broader mission of empowering entrepreneurs to build freedom and impact through the Kajabi platform.
Requirements
- Strong software engineering foundation with experience owning and operating infrastructure in a production environment.
- Proficient with SQL and Python.
- Deep experience with Docker and containerization.
- Experience deploying services using Kubernetes (EKS) and Helm.
- Experience with Terraform for cloud resource provisioning.
- Extensive AWS experience, including S3, DynamoDB, Lambda, and Glue.
- Experience with Snowflake.
Responsibilities
- Design, build, and maintain scalable components of Kajabi’s data platform to support ingestion, transformation, observability, and analytics.
- Develop and operate containerized services using Docker, and contribute to deployment workflows leveraging Kubernetes (EKS) and Helm.
- Provision and manage infrastructure using Terraform within AWS and other providers.
- Build and scale ingestion pipelines using tools such as Airbyte, Rudderstack, and Kafka.
- Develop data pipelines and modeling workflows in Snowflake with DBT, ensuring performance, reliability, and best practices.
- Design and scale real-time analytics datasets in ClickHouse to support high-concurrency production workloads.
- Build Python services and tooling to automate, orchestrate, and integrate data processing.
Other
- This role will need to be in the office for in-person collaboration 2-3 times a quarter and therefore is best situated in the Western Time zones.
- The role is remote, but candidates may be required to work from the Newport Beach, CA office.
- Excellent written communication skills with clear, structured documentation abilities.
- High level of organization and ability to collaborate effectively across engineering teams.
- Understanding of data governance and data quality best practices.
