Software Engineer, Observability

We are looking for a Software Engineer, Observability to join our Auth0 Platform Observability team. As an Engineer on this team, you will act as a core technical leader, working cross-functionally to help integrate services with our instrumentation libraries, support product teams, and actively investigate incidents to identify our observability gaps.

Responsibilities:

• Champion observability best practices and educate other engineering teams on building robust, standardized instrumentation
• Run services in production environments and contribute to designing services for high growth and high availability
• Provision, configure, and monitor cloud-native infrastructure and services
• Design, build, and maintain scalable observability infrastructure using tools like Terraform
• Troubleshoot performance issues and operational issues
• Automate operational tasks and improve scripts
• Assist with and provide feedback for performance testing and automation
• Participate in major incident response to diagnose root causes and identify critical gaps in our current telemetry tooling
• Act as a technical leader, driving cross-team initiatives to improve instrumentation and observability standards across the broader engineering organization

Qualifications:

• 3+ years of platform engineering, SRE, or DevOps experience
• Experience with cloud infrastructure like AWS, Google Cloud, or Azure
• Expertise in the Datadog ecosystem (Metrics, Logs, Traces, and Error Tracking)
• Strong coding skills in Node.js or Golang
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
• A data-driven approach to debugging complex, cross-service performance bottlenecks
• Deep understanding of microservice architecture and best practices
• Experience in coaching and mentoring more junior engineers
• Proven ability to lead cross-functional technical initiatives and collaborate seamlessly with multiple engineering teams
• Hands-on experience with OpenTelemetry (OTel), Vector, or similar frameworks for instrumenting applications