Observability Engineer – Telemetry Extension & ADOT Pipeline

About the Position

We are looking for an Observability Engineer – Telemetry Extension & ADOT Pipeline to build and extend telemetry capabilities for enterprise AI and cloud-native platforms. In this role, you will focus on designing scalable observability pipelines, extending OpenTelemetry instrumentation, and developing reusable telemetry components that provide actionable insights into distributed systems. You will work closely with platform, AI, and DevOps teams to create flexible, configurable telemetry solutions that support performance monitoring, troubleshooting, and operational excellence at scale.

Responsibilities

• Design and implement observability solutions for AI platforms, agent-based systems, and distributed cloud-native applications.
• Instrument Python services using OpenTelemetry SDK and AWS Distro for OpenTelemetry (ADOT).
• Develop and maintain distributed tracing solutions using AWS X-Ray and OpenTelemetry.
• Configure telemetry collection, propagation, and export pipelines across AWS environments.
• Implement and maintain CloudWatch dashboards, metrics, logs, and alerting strategies for operational visibility and troubleshooting.
• Establish monitoring standards for AI agents, tool invocations, workflow execution, and service-to-service communication.
• Integrate observability capabilities with AWS AgentCore Observability and related platform services.
• Ensure proper W3C Trace Context and Baggage propagation across applications, APIs, and agent workflows.
• Instrument LangChain-based applications and AI services to capture traces, metrics, and execution insights.
• Partner with AI engineers and platform teams to identify performance bottlenecks, reliability issues, and optimization opportunities.
• Build structured logging and telemetry standards that support debugging, root-cause analysis, and operational governance.
• Contribute to observability best practices, platform standards, and engineering guidelines for AI and cloud-native systems.

Requirements

Skills:

• AWS Distro for OpenTelemetry (ADOT) collector configuration (pipelines, processors, exporters)
• OpenTelemetry SDK extension patterns (custom metrics, custom spans, configurable telemetry)
• Python SDK library design
• AWS CloudWatch Metrics and X-Ray export pipelines
• YAML-driven telemetry configuration schemas

Experience:

• 4+ years of observability or platform engineering
• ADOT or OTel collector pipeline design
• Python SDK or library development

Nice to Have:

• Strands or LangGraph framework familiarity
• Customer-facing SDK extensibility patterns
• CloudWatch custom metrics and dimensions

We Offer

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.

We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.

We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

About the Company

Intellias is a global technology company that specializes in delivering innovative software solutions. Our mission is to help clients transform their businesses through cutting-edge technology and expert engineering. With offices in over 180 countries, we are dedicated to providing exceptional service and creating value for our clients.