Staff Applied Scientist - Observability Data Platform

Datadog is seeking an experienced Staff Applied Scientist to join their Observability Data Platform team. This role focuses on building an intelligent control plane for production systems by integrating techniques from symbolic reasoning, formal methods, and generative AI. The team is developing infrastructure for AI-native observability, aiming to create a platform where AI agents can safely and effectively operate in live environments. The role involves designing systems, leading experiments, and collaborating with both AI researchers and platform engineers.

Requirements

• BS/MS/PhD in a scientific field or equivalent experience
• 8+ years of experience in systems engineering, database internals, or infrastructure research
• Strong software engineering foundation (C++, Rust, Go, Python)
• Deep expertise in at least one of the following areas: query optimization, data center scheduling, compiler design, reinforcement learning, or distributed systems design
• Experience applying search, planning, or learning techniques to solve real-world optimization problems
• High level of collaboration across research, engineering, and product teams.

Benefits

• Competitive global benefits
• Continuous professional development
• Healthcare, dental, parental planning, and mental health benefits
• 401(k) plan and match
• Paid time off
• Fitness reimbursements
• Discounted employee stock purchase plan