Observability Engineer -New Relic Dashboards & Cost Metrics

Intellias; Portugal; On-site; EUR 60,000 - 85,000; Full time

Job summary

Intellias in Portugal seeks an experienced Observability Engineer to design and maintain New Relic dashboards, consolidate cross-tenant views, and implement cost and token-usage metrics for GenAI workloads. You will transform raw telemetry into governed, reusable metrics and help separate technical from business observability, ensuring consistent, low-cardinality dimensions.

The role focuses on building scalable observability solutions, collaborating with platform teams, and enabling downstream

Qualifications

• 4+ years of observability engineering.
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• Experience building dashboards and implementing cost metrics.
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• Ability to translate telemetry into governed metrics.
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Responsibilities

• Build and maintain New Relic dashboards using NRQL.
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• Develop consolidated cross-tenant dashboards for health and costs.
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• Implement cost and token-usage metrics for GenAI workloads.
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• Transform raw telemetry into governed aggregate metrics with lineage.
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• Define separation between technical and business observability.
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• Ensure metric facet hygiene with consistent dimensions.
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• Support integration with downstream BI/analytics when required.
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• Contribute to ingestion patterns using NR Metric API / Firehose and AWS cost data.
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Skills

New Relic NRQL

Cross-tenant dashboards

GenAI cost metrics

Governed metrics

Observability separation

Metric hygiene

Tools

New Relic

OpenTelemetry

AWS Cost Explorer

NRF/Firehose ingestion

Job description

The project is focused on building an enterprise-grade AI Agent Platform from the ground up. The platform will provide a standardized foundation for developing, deploying, orchestrating, securing, and observing AI agents across multiple teams and use cases.

The initiative covers the full agent lifecycle and brings together agent orchestration, observability, security, governance, integrations, evaluation, and platform engineering. Engineers joining the project will have an opportunity to influence key architectural and technical decisions and contribute to a new platform rather than maintaining an existing solution.

Skills:

• New Relic dashboard building and NRQL queries
• Consolidated cross-tenant dashboards for agent health, cost, and estate overview
• Cost and token usage metrics for GenAI and compute workloads
• Deriving governed aggregate metrics from raw telemetry (with lineage, not raw copies)
• Technical vs Business observability segregation (derivation, replication, linkage)
• Metric facet hygiene (consistent, low-cardinality dimensions)

Experience:

• 4+ years of observability engineering
• Dashboard and cost-metric implementation on New Relic (or equivalent SaaS observability)
• Translating raw telemetry into governed, reusable aggregate metrics

Nice to have:

• New Relic Metric API / Firehose ingestion familiarity
• AWS cost allocation (Cost Explorer, tagging, per-account attribution)
• OpenTelemetry GenAI semantic conventions (gen_ai., pmi.agent.)
• Feeding a downstream BI/analytics data product

Responsibilities:

• Build and maintain New Relic dashboards using NRQL queries.
• Develop consolidated cross-tenant dashboards providing visibility into agent health, costs, and the overall estate.
• Implement cost and token-usage metrics for GenAI and compute workloads.
• Transform raw telemetry into governed, reusable aggregate metrics, ensuring appropriate lineage rather than simply replicating raw data.
• Define and maintain separation between technical and business observability, including metric derivation, replication, and linkage.
• Ensure strong metric facet hygiene, with consistent and low-cardinality dimensions.
• Support integration of observability metrics with downstream BI and analytics products where required.
• Contribute to ingestion and integration patterns using New Relic Metric API / Firehose and AWS cost-allocation data.