Senior Site Reliability Engineer, Observability

Ripple Ripple · Fintech · Chicago, IL +1 · Engineering

Senior Site Reliability Engineer focused on observability and incident management for Ripple's financial technology platform, primarily on Azure. The role involves hands-on engineering of monitoring, alerting, and IaC, as well as coaching product teams on operational maturity and establishing early-stage incident management practices.

What you'd actually do

  1. Design and implement monitoring, alerting, and dashboards in New Relic (APM, Infrastructure, Logs, Synthetics) across Azure and AWS; write NRQL queries for troubleshooting, analysis, and reporting.
  2. Develop and maintain Terraform infrastructure as code for provisioning and managing monitoring resources, alert configurations, and observability infrastructure—this is a primary engineering responsibility, not an occasional task.
  3. Administer and configure Incident.IO: alert routing, notification workflows, Slack and OpsGenie integration, and runbook management—operationalizing what exists today and expanding from there.
  4. Enable stream-aligned engineering teams to adopt improved observability and incident management practices through workshops, consultation, and hands-on guidance.
  5. Define and implement SLOs/SLIs and error budgets; coach teams on using them to balance feature velocity with reliability and communicate system health to stakeholders.

Skills

Required

  • 7+ years in Site Reliability Engineering, DevOps, or Platform Engineering with a strong focus on observability and production operations.
  • Proven ability to deliver hands-on engineering work while coaching and mentoring teams
  • Experience working in Agile/Scrum environments
  • Expert-level hands-on experience with New Relic (APM, Infrastructure, Logs, Synthetics, Alerts)
  • Strong NRQL proficiency for troubleshooting and analysis.
  • Deep understanding of structured logging, metrics collection (RED/USE methods), distributed tracing, and designing effective dashboards and alerts.
  • Expertise defining and implementing SLOs/SLIs and error budgets for reliability management.
  • Hands-on experience with incident management platforms

Nice to have

  • coaching dimension
  • consult with stream-aligned product teams
  • Azure (80%) and AWS (20%) environments
  • predominantly Windows-based (80%)
  • early-stage incident management program
  • Terraform infrastructure as code
  • Azure DevOps pipelines
  • Incident.IO
  • on-call rotation design
  • escalation policies
  • incident severity classification
  • response playbooks
  • MTTR, MTTD, and incident frequency tracking
  • Subsystems Platform Team collaboration

What the JD emphasized

  • Observability Engineering
  • Infrastructure & IaC
  • Incident Management
  • Core SRE Experience
  • Observability & Incident Management Expertise