Senior Observability Engineer - Telemetry Extension & ADOT Pipeline

We are creating an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that empowers teams to define, orchestrate, deploy, and observe AI agents at scale. In the role of Senior Observability Engineer dedicated to the Telemetry Extension & ADOT Pipeline, you will enhance the Agent Observability SDK, leading collector pipeline design and YAML-driven telemetry configuration to give teams deep visibility into their AI agents. Responsibilities Enhance the Agent Observability SDK with custom telemetry capabilities Architect and implement ADOT collector pipelines, including processors and exporters Create YAML-driven telemetry configuration schemas for flexible, declarative observability Construct custom metrics and spans by leveraging OpenTelemetry SDK extension patterns Set up and optimize AWS CloudWatch Metrics and X-Ray export pipelines Partner with platform teams to embed observability into the agent lifecycle Guarantee 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, covering 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 extensibility patterns for customer-facing SDKs Competency in Amazon CloudWatch custom metrics and dimensions