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 ofSenior 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