Observability & AIOps Engineer (all genders)
Core
Build the intelligence layer enabling enterprise systems and AI agents to understand operational health in real time by transforming telemetry into actionable insights.
Role type
Senior IC Observability & AIOps Engineer
Builds
Enterprise observability platforms, telemetry pipelines, and AI-driven operational capabilities
Domain
Cloud infrastructure, distributed systems, and AI operations
Deliverable
production ML models
Required skills
Observability strategy design, telemetry pipeline engineering, AIOps (anomaly detection, event correlation), distributed systems architecture, cloud-native operations, SLO-driven reporting, automation scripting
Preferred skills
OpenTelemetry implementation, AI-driven operations platforms, predictive analytics, Kubernetes architecture, observability data integration
Technologies
Logs, metrics, traces, events, topology information, AI agents, automation workflows
Responsibilities
Design enterprise observability strategies, build telemetry pipelines, deploy observability platforms, develop AIOps capabilities, partner with SRE and platform teams, create dashboards and service maps, integrate data into AI agents, establish telemetry standards
Seniority
Senior, 12+ years experience (or 8+ with Master's/5+ with PhD)