The Observability Data Platform (ODP) at Datadog is evolving to meet the demands of AI agents, scaling with growth and integrating symbolic reasoning, formal methods, and generative AI. This role focuses on building intelligent systems for AI-native observability, applying reinforcement learning and search, and collaborating with AI researchers to drive the evolution of Datadog's infrastructure and product design. The company emphasizes a collaborative, innovative culture and works as a hybrid workplace.
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, or Python)
- Deep expertise in query optimization, data center scheduling, compiler design, reinforcement learning, or distributed systems design
- Experience applying search, planning, or learning techniques
- Hypothesis-driven and enjoy designing experiments
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
- Employee stock purchase plan