Software Engineer Training & Registry (AI Platform)

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).

What You'll Be Doing:

• 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.

Perks and Benefits:

• 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