Job Summary

Ulta JD: AI Observability / Datadog Engineer

Role: AI Observability / Datadog Engineer

Level: E2 / E2.2

Location: Offshore, India

Key Responsibilities

- Implement and manage Datadog-based observability for AI/ML and LLM applications.

- Build dashboards, monitors, alerts and operational views for AI workloads.

- Monitor application/service health, latency, errors, logs, traces and infrastructure metrics.

- Monitor AI/LLM-specific metrics such as model latency, token consumption, invocation volume and failures.

- Troubleshoot production issues using logs, metrics and distributed traces.

- Support OpenTelemetry instrumentation and telemetry integration with Datadog.

- Monitor APIs, microservices and cloud-native workloads.

- Work with application, AI/ML,



SRE and platform teams to improve reliability and observability.

- Develop automation/scripts for monitoring and operational activities.

- Support incident analysis, RCA and proactive identification of performance/reliability issues.

Core Mandatory Skills

- Robust hands-on Datadog Observability: Logs, Metrics, Traces, APM, Dashboards, Alerting

- OpenTelemetry

- AI/ML or LLM application observability

- Cloud platforms: GCP/AWS/Azure

- APIs and microservices

- Python/scripting

- SRE/production-support fundamentals

Skill RequirementsOther Requirements

📌 Senior Support Lead (India)
🏢 HCL Technologies
📍 India