Observability Engineer — AgentCore Telemetry

EPAM Systems, Inc.; Portugal; Teletrabalho; EUR 70 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible work hours

Competitive compensation

Resumo da oferta

EPAM Systems, Inc. is seeking an Observability Engineer — AgentCore Telemetry to own observability and telemetry for a cloud-native enterprise AI platform.

You will design tracing, metrics, and logging solutions using OpenTelemetry and AWS services to ensure health, performance, and enterprise compliance. You will instrument Python-based AI runtimes, align with W3C trace contexts, and build scalable telemetry pipelines.

Qualificações

• 3+ years of observability or telemetry design for distributed systems.
• Hands-on experience instrumenting Python services with OpenTelemetry.
• Configuring AWS CloudWatch (logs, metrics) and AWS X-Ray for distributed tracing.
• Familiarity with trace-context standards and end-to-end instrumentation strategies.
• Nice to have LangGraph or Strands orchestration frameworks.
• Familiarity with OpenTelemetry GenAI SIG semantic conventions for AI/LLM observability.

Responsabilidades

• Implement observability for distributed AI agent systems using ADOT and OpenTelemetry SDK for Python.
• Design and maintain telemetry pipelines for metrics, traces, and logs across agent runtimes.
• Integrate AWS CloudWatch and AWS X-Ray for real-time monitoring and tracing.
• Ensure proper trace-context propagation across agent orchestration flows.
• Instrument Python-based AI frameworks for granular telemetry coverage.
• Configure ADOT collector for custom pipelines and data export to observability platforms.
• Collaborate with platform engineering, security, and DevOps to establish monitoring baselines.
• Provide guidance on observability strategies for CI/CD, scaling, and fault isolation.

Conhecimentos

OpenTelemetry

Python

Distributed tracing

Trace context

AWS CloudWatch

AWS X-Ray

Instrumentation

Ferramentas

ADOT collector

OpenTelemetry SDK

LangGraph

Strands

Descrição da oferta de emprego

We're looking for an Observability Engineer — AgentCore Telemetry to join our team in Portugal in a fully remote working mode. In this role, you will own observability and telemetry for the Enterprise Agent Development Platform, a cloud-native ecosystem that enables teams to build, deploy, and monitor AI agents at scale. You will design and implement tracing, metrics, and logging solutions leveraging OpenTelemetry and AWS native services to ensure system health, performance optimization, and compliance with enterprise standards. This position combines deep expertise in instrumentation, distributed tracing, and integration of observability pipelines with cutting-edge agentic AI architecture.ResponsibilitiesImplement observability for distributed AI agent systems using AWS Distro for OpenTelemetry (ADOT) and the OpenTelemetry SDK for PythonDesign and maintain telemetry pipelines for metrics, traces, and structured logs across agent runtimesIntegrate AWS CloudWatch and AWS X-Ray for real-time system monitoring and distributed tracingEnsure proper trace-context and baggage propagation aligned with W3C Trace Context standards across agent orchestration flowsInstrument Python-based AI and agent frameworks, including LangChain or comparable runtime tools, for granular telemetry coverageDefine observability best practices and integrate semantic conventions for agentic and LLM-based systemsConfigure and manage ADOT collector for custom pipelines and data export to enterprise observability platformsCollaborate with platform engineering, security, and DevOps teams to establish baselines for monitoring, alerting, and complianceProvide guidance on observability strategies supporting CI/CD, scaling, and fault isolationRequirements3+ years of experience in observability engineering or telemetry design for distributed systemsStrong hands-on experience instrumenting Python services with OpenTelemetryPractical experience configuring AWS CloudWatch (logs, metrics) and AWS X-Ray for distributed tracingFamiliarity with trace-context standards and end-to-end instrumentation strategies for microservices or event-driven architecturesAbility to design and maintain scalable telemetry pipelines in a production-grade environmentNice to haveExposure to LangGraph or Strands agent orchestration frameworksFamiliarity with OpenTelemetry GenAI SIG semantic conventions for AI/LLM observabilityExperience with ADOT collector configuration and custom export setupBackground in observability for multi-agent or generative AI systemsWe offerCompetitive compensation depending on experience and skillsVariety of projects within one companyBeing a part of a project following engineering excellence standardsIndividual career path and professional growth opportunitiesInternal events and communitiesFlexible work hours