Requirements:

You have 3+ years of experience as a backend or platform engineer, with some exposure to ML workflows or data systems.
You're experienced with backend development in Python, Go, or similar languages.
You've built or worked on systems that process data or jobs at scale.
You're curious about ML infrastructure and eager to develop expertise in areas like training orchestration, registries, or experiment tracking.
You enjoy collaborating with cross-functional teams and contributing to shared tooling.

Nice to Haves:

Bonus points: experience with cloud infra, CI/CD, or ML lifecycle tools (e.g., MLflow, Ray, Airflow).

Build and maintain backend systems for job orchestration, model tracking, and versioned artifact management.
Collaborate with engineers and applied scientists to support training workflows and improve platform usability.
Help implement model version control and feature discovery tools for production-ready ML applications.
Contribute to the monitoring and observability of training pipelines and registry APIs.
Participate in code reviews, design discussions, and sprint planning with the wider AI Platform team.

New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
Intradepartmental mentor and buddy program for in-house networking
An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
Access to Inclusion Talks, our internal panel discussions
Free, global mental health benefits for employees and dependents age 6+
Competitive global benefits