AI-Driven Observability Implementation Engineer

Precision Labs; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Snowflake is hiring an Implementation Engineer to help enterprise customers deploy, configure, and operationalize Observe. This hands-on, post-sales role focuses on fast time-to-value and establishing a solid foundation for long-term customer success.

You will translate OpenTelemetry-based pipelines into scalable, production-ready implementations while balancing speed, quality, and enablement. Collaboration across teams ensures smooth transitions and ongoing value.

Qualifications

• 5+ years in customer-facing technical roles such as implementation engineer, solutions architect, or SRE.
• Hands-on with observability platforms and telemetry pipelines.

Responsibilities

• Lead structured implementations for enterprise customers from kickoff through production readiness.
• Design telemetry ingestion pipelines across logs, metrics, and traces.
• Work with OpenTelemetry instrumentation and collectors.
• Migrate legacy observability environments to Observe.
• Configure dashboards, alerts, and observability assets for use cases.
• Establish implementation plans with customers.
• Deliver guidance so customers become self-sufficient on the platform.
• Identify risks and data quality issues early and address them.
• Capture patterns and assets to improve scalability.
• Collaborate with Observability Engineers, Architects, Support, Product, and Engineering.

Skills

customer-facing roles

observability platforms

OpenTelemetry

cloud environments

communication

problem solving

Tools

Splunk

ELK

Datadog

New Relic

Dynatrace

Grafana

Kubernetes

Job description

Snowflake is hiring an Implementation Engineer to help enterprise customers deploy, configure, and operationalize Observe. This hands-on, post-sales role focuses on fast time-to-value and establishing a solid foundation for long-term customer success.

You will translate OpenTelemetry-based pipelines into scalable, production-ready implementations while balancing speed, quality, and enablement. Collaboration across teams ensures smooth transitions and ongoing value.