Principal Solutions Architect - Observability and AI
Core
Design and scale next-generation observability and reliability frameworks, championing modern telemetry practices and building predictive monitoring systems.
Role type
Principal Systems Architect (Observability & AI)
Builds
End-to-end telemetry systems, anomaly detection engines, predictive monitoring models, and high-availability infrastructure.
Domain
Cloud Infrastructure & AIOps
Deliverable
production ML models
Required skills
Observability stacks (Datadog, OpenTelemetry, Prometheus/Grafana), Statistical analysis, Time-series data, Predictive alerting, Cloud architecture (AWS, Azure, GCP), Fault-tolerant distributed systems design, Anomaly detection algorithms, Correlative root-cause analysis, Time-series forecasting, ML-driven event deduplication
Preferred skills
Mentoring engineering teams, Communicating complex technical concepts to leadership
Technologies
Datadog, OpenTelemetry, Prometheus, Grafana, AWS, Azure, GCP
Responsibilities
Design end-to-end telemetry systems focusing on metrics, logs, and traces; Build anomaly detection engines using system KPIs; Deploy machine learning or statistical models to forecast capacity and system degradation; Create intuitive, multi-tier visualization dashboards; Establish architectural patterns aligned with 'Five Nines' availability principles; Define SLA, SLO, and SLI frameworks across distributed engineering teams.
Seniority
Principal, hands-on IC with mentorship
