Job Summary

The Platform Observability Engineer will implement Datadog-based observability patterns across services, infrastructure, and platform telemetry. This role focuses on practical dashboarding, monitor configuration, log/metric/trace integration, GCP telemetry, and reusable implementation examples for service and infrastructure health

Key Responsibilities

- Configure Datadog dashboards, monitors, log views, traces, and service health views
- Implement standard tagging, naming, and metadata patterns
- Integrate GCP Monitoring/Logging signals into Datadog where applicable
- Support runtime health, infra health, pipeline health, and dashboarding workstreams
- Partner with Senior SRE on alerting, SLO, and runbook standards
- Support LLM performance and cost/right-sizing dashboards where platform telemetry is needed




- Document implementation patterns for long-term owning teams

Skill Requirements

- Lead: Datadog implementation, dashboards, monitors
- Strong: OpenTelemetry/logs/metrics/traces, GCP Monitoring/Logging, GCP, service health dashboards

Working Knowledge: GKE/Cloud Run, SQL, Python, Bash, BigQuery, Databricks, AI/ML telemetry concepts

Must Have Skill

Datadog

Good to Have Skill

Other Requirements

- Lead: Datadog implementation, dashboards, monitors
- Robust: OpenTelemetry/logs/metrics/traces, GCP Monitoring/Logging, GCP, service health dashboards

Working Knowledge: GKE/Cloud Run, SQL, Python, Bash, BigQuery, Databricks, AI/ML telemetry concepts

📌 Senior Technical Lead (Noida)
🏢 HCLTech
📍 Noida