Senior Cloud Native Developer

• 3+ years of experience in observability or platform engineering with hands-on OpenTelemetry implementation
• Expertise in OpenTelemetry architecture, including SDK, Collector, and semantic conventions (including GenAI SIG conventions for AI workloads)
• Proficiency in AWS Distro for OpenTelemetry (ADOT), including collector pipeline design, processor configuration, and multi-exporter setup
• Skills in AWS CloudWatch (Logs Insights, EMF, composite alarms, cross-account aggregation) and X-Ray at scale (distributed tracing, service maps, trace groups, sampling rules)
• Background in New Relic in enterprise environments, including APM, custom dashboards, alerting, distributed tracing, and NRQL
• Knowledge of OpenTelemetry GenAI SIG semantic conventions or AI/LLM observability implementation
• Familiarity with agent/LLM observability tools such as LangSmith, MLflow tracing, or equivalents
• Understanding of cross-runtime observability architecture and multi-vendor telemetry consolidation patterns
• Proficiency in Python for ADOT instrumentation, SDK development, and integration with agent frameworks
• Capability to provide technical leadership and translate enterprise requirements into actionable engineering plans
• Excellent command of written and spoken English (B2+ level)

Nice to have:

• Experience in cross-team coordination on observability standards across multiple engineering teams
• Familiarity with AWS AgentCore Observability
• Background in Datadog or Dynatrace in hybrid environments
• Skills in Strands or LangGraph agent framework instrumentation

• Define and implement enterprise-wide telemetry standards, monitoring architecture, and observability frameworks for AI agents, MCP servers, and runtime platforms
• Design and maintain OpenTelemetry-based instrumentation across agent frameworks and runtime environments
• Architect collector pipelines, processor configurations, and multi-exporter setups using AWS Distro for OpenTelemetry (ADOT)
• Build and optimize monitoring, alerting, and distributed tracing solutions using AWS CloudWatch and X-Ray at scale
• Implement enterprise-grade APM, custom dashboards, and NRQL-based alerting within New Relic
• Establish GenAI SIG semantic conventions for AI/LLM workloads and drive adoption across engineering teams
• Develop cross-runtime observability architectures to consolidate multi-vendor telemetry
• Instrument agent and LLM workflows using tools such as LangSmith or MLflow tracing
• Translate enterprise requirements into actionable engineering plans and provide technical leadership across observability initiatives
• Collaborate with platform, agent framework, and CI/CD teams to embed observability into the developer experience