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 Client
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.
About the Project
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
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.