datadog

Staff Software Engineer - ML Observability

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At a Glance

Location
United States
Posted
2026-02-18T13:31:08-05:00

Key Requirements

Domain Knowledge

  • Engineering

Requirements

Deep understanding of distributed systems and scalable backend architectures

Hands-on experience building and shipping LLM-powered or GenAI applications.

Understanding of model internals, inference pipelines, evaluation techniques, and prompt engineering

You’re excited to shape the next generation of AI observability tools from the ground up

Experience with observability tools/platforms

Datadog values people from all walks of life.

Compensation & Benefits

Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.

Have a lot of influence on product direction and impact on the business .

Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn

Competitive global benefits

Continuous professional development

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Responsibilities

Drive design and implementation of LLM observability features.

Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems

Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit

Develop and extend tools for tracing, evaluating, and debugging LLMs

Influence architecture decisions and mentor engineers to build resilient, high-performance systems

Stay close to customer pain points and use those insights to guide product and engineering priorities