AI Observability Engineer

Observability Engineer

We are seeking 7+ years experienced Observability Engineer to design, implement, and govern observability solutions across modern distributed systems.

The ideal candidate will have strong hands-on experience with OpenTelemetry, be capable of executing and validating observability-related test cases, and define standards, best practices, and reusable blueprints.

Familiarity with Arize AI / Arize AX is a strong plus, especially in environments involving ML or AI-powered systems.

Key Responsibilities

• Observability Design & Implementation
• Design, implement, and maintain observability solutions using OpenTelemetry for metrics, logs, and traces
• Support Use case needs and custom demands
• Instrument applications and services across microservices, cloud-native, and hybrid environments
• Ensure consistent telemetry data collection aligned with architectural and organizational standards

Standards, Blueprints & Governance

• Define and maintain observability standards, conventions, and naming strategies
• Create reusable blueprints, reference architectures, and dashboards for application teams
• Collaborate with platform, SRE, and engineering teams to enforce observability best practices
• Good understanding of LLM and AI Applications
• Proficiency in at least one programming language (e.g., Python, or JavaScript)
• Experience with Arize AI / Arize AX for ML observability
• Hands-on experience with OpenTelemetry (OTel) SDKs, collectors, and pipelines
• Experience with observability backends (e.g., mainly Arize  or Prometheus, Grafana, Azure Monitor, Datadog, New Relic, Elastic, etc.)