Lead Observability Engineer (New Relic)

We are looking for a Lead Observability Engineer to build an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability — reducing agent development from months to days while enforcing consistent security, quality, and governance standards.

Responsibilities

• Own the multi-tenant New Relic consolidation layer aggregating telemetry across the agent estate
• Administer New Relic at scale, including management account setup and cross-account configuration
• Build and maintain cross-account NRQL queries that aggregate telemetry from multiple project tenants
• Develop dashboards-as-code and alert-policy-as-code using the Terraform New Relic provider and Crossplane
• Configure New Relic alert policies routed to Opsgenie, with future migration to ServiceNow
• Consume OpenTelemetry / ADOT data through OTLP and Firehose ingestion into New Relic
• Design metric dimensions for large agent estates, ensuring stable, low-cardinality facets
• Maintain segregation across Technical, Business, and Audit observability models

Requirements

• 6+ years of experience in observability or SRE engineering
• Hands-on experience consolidating observability/telemetry for AI agent estates in a production agentic AI project, such as multi-tenant New Relic (or equivalent) aggregation of agent telemetry, cost/token attribution for GenAI workloads, or AgentCore GenAI Observability integration
• Expertise in New Relic (or equivalent SaaS observability platforms) operated as a multi-tenant consolidation layer
• Skills in cross-account / cross-tenant telemetry aggregation and reporting
• Familiarity with working within a Technical / Business / Audit observability segregation model
• Proficiency in NRQL, dashboards-as-code, and alert-policy-as-code practices
• Knowledge of OpenTelemetry / ADOT consumption fundamentals

Nice to have

• Familiarity with AWS Bedrock AgentCore observability (Transaction Search, GenAI Observability)
• Background in Kinesis Firehose metric / log forwarding pipelines (CloudWatch → New Relic)
• Knowledge of cost / token attribution modeling for GenAI workloads
• Skills in Crossplane-based provisioning of observability resources

We offer

We gather like-minded people:

• Top tech minds driving innovation in AI, cloud and digital platform modernization
• Supportive team and agile, startup-like culture
• Hybrid by design mode and opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually
• Business-driven relocation opportunities

We provide growth opportunities:

• Career development programs
• Thought leadership, mentoring, soft skills and well-being programs
• Certification (Anthropic, Gemini, GCP, Azure, AWS)
• English classes

We cover it all:

• Stable pay
• Participation in the Employee Stock Purchase Plan with a 15% discount
• Benefits package (health insurance, multisport, shopping vouchers)
• Referral bonuses up to $2,000
• Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
• Corporate, social and well-being events

Please, note:

• Benefits listed above are available to employees only
• We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
• We will reach out to selected candidates exclusively

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

Remote in Poland