Senior Site Reliability Engineer, MagicSchool AI

• Professional Experience: At least 5 years in an SRE, DevOps, or observability-focused role, with a track record of success in fast-paced, high-growth environments
• Observability & Resilience: Experience designing and operating systems for high availability and disaster recovery. Familiarity with incident response, alert fatigue reduction, and signal-to-noise balancing
• Tooling Expertise: Deep experience with observability tools such as Grafana, Prometheus, Loki, Datadog, and OpenTelemetry. Proven ability to operationalize these tools for maximum team impact
• Infrastructure Skills: Strong proficiency with Terraform and infrastructure-as-code workflows. Experience with multi-cloud deployments and operating resilient systems at scale
• Enablement & Collaboration: Passion for enabling product engineers through training and pairing on observability patterns. Ability to drive cross-functional initiatives that improve system health and team effectiveness
• Communication Skills: Skilled at explaining complex infrastructure and observability concepts to both technical and non-technical audiences. Calm and decisive under pressure, especially during incident response

Desirable

• As Senior Site Reliability Engineer (Observability & Resilience), you will lead observability across our platform and help design the resilient infrastructure our customers and educators rely on every day
• In this hands-on, individual contributor role, you’ll drive instrumentation and telemetry strategy while partnering closely with product and engineering to plan for Resilience, Recovery, and Availability
• Observability Leadership: Design and implement observability patterns—including metrics, logging, tracing, and alerting—to ensure we have clear, actionable visibility into platform behavior and performance
• Build internal tooling and dashboards: Empower our teams with real-time system insights
• Operational Excellence: Define and maintain SLIs and SLOs in partnership with product and engineering teams. Establish best practices for alert tuning and signal-to-noise balancing to reduce incident fatigue and improve response accuracy
• Platform Resilience: Architect and support infrastructure that prioritizes high availability, disaster recovery, and graceful degradation. Leverage Terraform and infrastructure-as-code to ensure consistent, reliable deployments across AWS and Google Cloud
• Cross-Functional Enablement: Collaborate with engineers across teams to embed resilient design and observability from the ground up. Provide training and pairing support to product engineers, helping them build and maintain telemetry that supports the full software lifecycle