Listing Description

We're building Ripple's data services group and are looking for several talented Senior and Staff DevOps Engineers that will build scalable data infrastructure to enable ML and analytics company-wide.

As a Senior or Staff DevOps Engineer on our data platform team, you will be responsible for the design, deployment, and continuous monitoring of data-intensive applications.

Your work will enable the developer experience for data engineers and data scientists. This person will bring a software engineering approach to infrastructure which will positive impact our culture of ownership, reliability, trust, and observability.

The Opportunity:

• Architect, deploy, and maintain Ripple’s multi-region, multi-provider service platforms – emphasizing security and resiliency


• Develop and maintain services to support our data-driven analytics framework


• Design and build automation, monitoring, and instrumentation tools to reduce operational friction


• Solve unique technical challenges like secret management, geographic failover, data replication, and platform resiliency


• Create and automate lifecycle services—leveraging data to converge on declared states with minimal human interaction


• Collaborate with data engineering to ensure production-ready code; work closely with developers and scientists


• Research promising new tools and technologies


• Encourage team to experiment and evolve


• Help in the adoption of DevOps-first principles through team and the organization

Our Stack at a Glance:

• Kubernetes


• Docker


• Terraform


• GitLab


• Amazon Web Services


• GCP


• Java, JavaScript, and Python


• Airflow, BigQuery


• Hadoop, Impala, Hue


• Kinesis


• Spark