We are looking for an Observability Engineer – Telemetry Extension & ADOT Pipeline to build and extend telemetry capabilities for enterprise AI and cloud-native platforms. 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.

What project we have for you

Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). Intellia’s mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform.

The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices.

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.

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.

Partner with AI engineers and platform teams to identify performance bottlenecks, reliability issues, and optimization opportunities.

Contribute to observability best practices, platform standards, and engineering guidelines for AI and cloud-native systems.

AWS Distro for OpenTelemetry (ADOT) collector configuration (pipelines, processors, exporters)

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
Python SDK or library development

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.

Flexible Pipe Engineer

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