Senior Applied Scientist Observability Data Pla... @ Datadog
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About the Role
The Senior Applied Scientist Observability Data Platform at Datadog powers the core of the telemetry systems by handling exabytes of multimodal observability data. With the rise of AI agents as consumers of telemetry, the role focuses on building an intelligent control plane for production systems that moves beyond passive monitoring.
What You’ll Do
You will design and prototype intelligent systems for AI-native observability, including cost-aware agent orchestration and adaptive query execution. You will apply techniques such as reinforcement learning and symbolic reasoning to enable infrastructure-level decision-making. You will collaborate with AI researchers and platform engineers to design experimentation loops and verifiers to guide LLM outputs using runtime metrics and formal models.
- Design intelligent systems for observability.
- Apply reinforcement learning and formal methods.
- Collaborate with cross-functional AI and platform teams.
- Prototype systems for dynamic decision-making.
- Contribute to Datadog’s BitsEvolve project.
Who You Are
You bring at least 8 years of experience in systems engineering, AI, or related fields along with a strong programming background in C++, Rust, Go, or Python. Expertise in areas such as query optimization, data center scheduling, compiler design, or reinforcement learning is essential. You thrive in ambiguous environments, enjoy experimental design, and excel at cross-team collaboration.
Benefits and Growth
Datadog offers competitive salary and equity packages along with a comprehensive range of benefits including healthcare, dental, and 401(k) plans. You will work with skilled teammates and enjoy continuous professional development in a hybrid work environment.
Key Skills/Competency
- Telemetry
- Observability
- Reinforcement Learning
- Formal Methods
- AI
- Systems Engineering
- Query Optimization
- Compiler Design
- Infrastructure
- Data Platform
How to Get Hired at Datadog
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant systems engineering and AI projects.
- Research Datadog: Understand their telemetry and observability products.
- Prepare technical examples: Demonstrate experience in reinforcement learning and optimization.
- Practice interview insights: Focus on system design and formal methods.