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 aSenior 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