Senior Observability Engineer
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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 administration at scale (management account, cross-account setup)NRQL — cross-account queries aggregating telemetry from multiple project tenantsDashboards-as-code and alert-policy-as-code (Terraform New Relic provider, Crossplane)New Relic alert policies routed to Opsgenie (ServiceNow later)OpenTelemetry / ADOT consumption fundamentals (OTLP and Firehose ingestion into New Relic)
Experience:
6+ years of observability or SRE engineeringNew Relic (or equivalent SaaS observability) operated as a multi-tenant consolidation layerCross-account / cross-tenant telemetry aggregation and reportingWorking within a Technical / Business / Audit observability segregation modelNice to have:AWS Bedrock AgentCore observability (Transaction Search, GenAI Observability)Crossplane-based provisioning of observability resourcesResponsibilities:Design and operate amulti-account New Relic observability environment, consolidating telemetry from multiple project tenants.
Buildcross-account NRQL queries, dashboards, and reportingfor centralized operational visibility.
Implementdashboards-as-code and alert-policy-as-codeusing Terraform and Crossplane.
Configure and manageNew Relic alert policies and routing to Opsgenie, with future integration into ServiceNow.
Support ingestion of telemetry into New Relic throughOpenTelemetry/ADOT, OTLP, and Kinesis Firehose pipelines .
Define scalablemetric dimensions and low-cardinality facetsfor large AI agent estates.
Establish observability patterns that supportTechnical, Business, and Audit telemetry segregation .
Support cross-tenant monitoring, reporting, and operational governance.
Collaborate on observability for GenAI workloads, includingAWS Bedrock AgentCore telemetry and cost/token attribution .
Automate provisioning and lifecycle management of observability resources usingTerraform and Crossplane .
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