Observability Engineer – New Relic Dashboards & Cost Metrics

About the Position

We are looking for an Observability Engineer to design and implement consolidated observability dashboards and cost metrics across a GenAI and compute environment. The role focuses on New Relic dashboarding, NRQL, cost and token-usage visibility, and transforming raw telemetry into governed, reusable aggregate metrics that provide both technical and business insights.

About the Project

Our client is a large global enterprise operating across multiple markets, with a complex technology landscape and a strong focus on digital transformation and innovation. The organization is actively investing in modern cloud, data, and AI capabilities to enable scalable, secure, and highly automated solutions across its business.

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.

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.

Requirements

• 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

We Offer

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.

We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.

We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Locations

• Bulgaria
• Croatia
• Egypt
• Poland
• Portugal

Work Location Type

Remote