Senior Observability Engineer - Telemetry Extension & ADOT Pipeline

Job description

We are building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables teams to define, orchestrate, deploy, and observe AI agents at scale. As a Senior Observability Engineer focused on the Telemetry Extension & ADOT Pipeline, you will evolve the Agent Observability SDK, driving collector pipeline design and YAML-driven telemetry configuration to give teams deep visibility into their AI agents.

Responsibilities

- Extend the Agent Observability SDK with custom telemetry capabilities

- Design and build ADOT collector pipelines, including processors and exporters

- Develop YAML-driven telemetry configuration schemas for flexible, declarative observability

- Build custom metrics and spans using OpenTelemetry SDK extension patterns

- Configure and tune 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, keeping it maintainable and extensible

Requirements

- 3+ years of experience in observability or platform engineering

- 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 extensibility patterns applied to customer-facing SDKs

- Competency in Amazon CloudWatch custom metrics and dimensions