Lead Architect
Core
Design and govern the end-to-end telemetry ecosystem for enterprise observability, defining standards for logs, metrics, traces, and AI-specific signals to ensure visibility across distributed systems and AI-driven workloads.
Role type
Senior individual contributor Lead Architect (Enterprise Observability)
Builds
A unified observability control plane and telemetry pipelines supporting AIOps capabilities like anomaly detection and automated response.
Domain
Cloud infrastructure, distributed systems, AI/LLM observability, multi-cloud platforms
Deliverable
production ML models | infrastructure
Required skills
Enterprise architecture, distributed systems observability (tracing, metrics, log aggregation), OpenTelemetry, AIOps concepts, scalable cloud architecture design, AI/LLM observability, security observability
Preferred skills
AWS, large-scale regulated environments
Technologies
OpenTelemetry, AWS, distributed tracing, time-series analysis
Responsibilities
Define target-state observability architecture and standardized telemetry schemas, architect end-to-end telemetry flows from instrumentation to persistence, establish patterns for SLOs and distributed tracing, drive adoption of observability standards across engineering teams, resolve complex design tradeoffs for platform direction, enable AIOps capabilities for faster issue resolution
Seniority
Senior, hands-on IC
