Senior Observability Engineer - Telemetry Extension & ADOT Pipeline

We are building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem enabling teams to define, orchestrate, deploy, and observe AI agents at scale. As a Senior Observability Engineer focused on Telemetry Extension & ADOT Pipeline, you will extend the Agent Observability SDK, driving collector pipeline design and YAML-driven telemetry configuration to empower teams with deep visibility into their AI agents. Responsibilities Extend the Agent Observability SDK with custom telemetry capabilities Design and implement ADOT collector pipelines, including processors and exporters Develop YAML-driven telemetry configuration schemas for flexible, declarative observability Build custom metrics and spans leveraging OpenTelemetry SDK extension patterns Configure and optimize AWS CloudWatch Metrics and X-Ray export pipelines Collaborate with platform teams to integrate observability into the agent lifecycle Ensure telemetry solutions scale reliably across production, cloud-native environments Contribute to Python SDK library design, ensuring maintainability and extensibility Requirements 3+ years of observability or platform engineering experience Background in ADOT or OpenTelemetry collector pipeline design Proficiency in Python SDK or library development and design Expertise in AWS Distro for OpenTelemetry (ADOT) collector configuration, including pipelines, processors, and exporters Knowledge of OpenTelemetry SDK extension patterns for custom metrics, custom spans, and configurable telemetry Skills in AWS CloudWatch Metrics and X-Ray export pipelines Familiarity with YAML-driven telemetry configuration schemas English level B1+ for effective communication Nice to have Familiarity with Strands or LangGraph frameworks Understanding of customer-facing SDK extensibility patterns Competency in Amazon CloudWatch custom metrics and dimensions