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We're building Ripple's data services group and are looking for several dedicated Senior and Staff DevOps Engineers that will build scalable data infrastructure to enable ML and analytics company-wide.\n\nAs 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.\n\nYour 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.\n\n \n\n**The Opportunity:**\n\n- Architect, deploy, and maintain Ripple’s multi-region, multi-provider service platforms – emphasizing security and resiliency\n- Develop and maintain services to support our data-driven analytics framework\n- Design and build automation, monitoring, and instrumentation tools to reduce operational friction\n- Tackle unique technical challenges like secret management, geographic failover, data replication, and platform resiliency\n- Build and automate lifecycle services—leveraging data to converge on declared states with minimal human interaction\n- Collaborate with data engineering to ensure production-ready code; work closely with developers and scientists\n- Research promising new tools and technologies\n- Encourage team to experiment and evolve\n- Help in the adoption of DevOps-first principles through team and the organization\n\n \n\n**Must Haves:**\n\n- Terraform\n- Coding Skills (Python Preferred) \n- GitLab or Github\n- Amazon Web Services and/or GCP\n- Jenkins\n\n**Tech Stack at a Glance:**\n\n- Kubernetes\n- Docker\n- Airflow, BigQuery\n- Hadoop, Impala, Hue\n- Kinesis\n- Spark\n- Database Experience\n- Pandas\n- Dataframes\n- Prometheus\n- Grafana\n