Datadog
Senior Applied Scientist - Observability Data Platform
Datadog, Denver, Colorado, United States
Overview
The Observability Data Platform (ODP) powers the core of Datadog’s telemetry systems, handling exabytes of multimodal observability data. As AI agents become first-class consumers of telemetry, ODP is evolving to meet their demands - scaling with explosive data growth, exposing new query mechanisms, rethinking how telemetry is stored, transformed, and served, and enforcing guardrails that ensure security and reliability. Our team’s new focus is to build an intelligent control plane for production systems, moving beyond passive monitoring to a platform where AI agents can safely and effectively take action in live environments. We are integrating techniques from symbolic reasoning, formal methods, and generative AI. You will join the team behind Datadog’s most ambitious projects: evolving observability infrastructure for stochastic, self-improving systems. Datadog values office culture and supports a hybrid workplace to help Datadogs achieve work-life harmony. What You’ll Do
Design and prototype intelligent systems for AI-native observability, including cost-aware agent orchestration, adaptive query execution, and self-optimizing system components. Apply reinforcement learning, search, or hybrid approaches to infrastructure-level decision-making, such as autoscaling, scheduling, or load shaping. Collaborate with AI researchers and platform engineers to design experimentation loops and verifiers that guide LLM outputs using runtime metrics and formal models. Explore emerging paradigms like AI compilers, “programming after code,” and runtime-aware prompt engineering to inform Datadog’s infrastructure and product design. Help define the direction of BitsEvolve - Datadog’s optimization agent that uses LLMs and evolutionary search to discover code improvements, optimize GPU kernels, and tune configurations to improve performance. Partner with product teams and platform stakeholders to ensure scientific advances translate into measurable improvements in cost, performance, and observability depth. Who You Are
You have a BS/MS/PhD in a scientific field or equivalent experience You have 8+ years of experience in systems engineering, database internals, or infrastructure research, including hands-on experience in a production environment You have a strong software engineering foundation, ideally in C++, Rust, Go, or Python, and are comfortable writing performant, maintainable code You have deep expertise in at least one of the following areas: query optimization, data center scheduling, compiler design, reinforcement learning, or distributed systems design You have experience applying search, planning, or learning techniques to solve real-world optimization problems You are excited by systems that learn, adapt, and improve over time using feedback from runtime metrics and human-defined objectives You are hypothesis-driven and enjoy designing experiments and evaluation loops, whether through simulations, benchmarks, or live systems You thrive in ambiguity, enjoy reading papers and building prototypes, and want to help shape the future of infrastructure in the AI era You enjoy collaborating across research, engineering, and product to bring scientific insights to practical outcomes Benefits and Growth
Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business. Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. The compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers benefits for this role including healthcare, dental, parental planning, mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $187,000—$240,000 USD About Datadog
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. We champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. Here are our Candidate Legal Notices for your reference. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines. Seniority level
Mid-Senior level Employment type
Full-time Job function
Research, Analyst, and Information Technology Software Development Equal Opportunity continued. Referrals increase your chances of interviewing at Datadog by 2x
#J-18808-Ljbffr
The Observability Data Platform (ODP) powers the core of Datadog’s telemetry systems, handling exabytes of multimodal observability data. As AI agents become first-class consumers of telemetry, ODP is evolving to meet their demands - scaling with explosive data growth, exposing new query mechanisms, rethinking how telemetry is stored, transformed, and served, and enforcing guardrails that ensure security and reliability. Our team’s new focus is to build an intelligent control plane for production systems, moving beyond passive monitoring to a platform where AI agents can safely and effectively take action in live environments. We are integrating techniques from symbolic reasoning, formal methods, and generative AI. You will join the team behind Datadog’s most ambitious projects: evolving observability infrastructure for stochastic, self-improving systems. Datadog values office culture and supports a hybrid workplace to help Datadogs achieve work-life harmony. What You’ll Do
Design and prototype intelligent systems for AI-native observability, including cost-aware agent orchestration, adaptive query execution, and self-optimizing system components. Apply reinforcement learning, search, or hybrid approaches to infrastructure-level decision-making, such as autoscaling, scheduling, or load shaping. Collaborate with AI researchers and platform engineers to design experimentation loops and verifiers that guide LLM outputs using runtime metrics and formal models. Explore emerging paradigms like AI compilers, “programming after code,” and runtime-aware prompt engineering to inform Datadog’s infrastructure and product design. Help define the direction of BitsEvolve - Datadog’s optimization agent that uses LLMs and evolutionary search to discover code improvements, optimize GPU kernels, and tune configurations to improve performance. Partner with product teams and platform stakeholders to ensure scientific advances translate into measurable improvements in cost, performance, and observability depth. Who You Are
You have a BS/MS/PhD in a scientific field or equivalent experience You have 8+ years of experience in systems engineering, database internals, or infrastructure research, including hands-on experience in a production environment You have a strong software engineering foundation, ideally in C++, Rust, Go, or Python, and are comfortable writing performant, maintainable code You have deep expertise in at least one of the following areas: query optimization, data center scheduling, compiler design, reinforcement learning, or distributed systems design You have experience applying search, planning, or learning techniques to solve real-world optimization problems You are excited by systems that learn, adapt, and improve over time using feedback from runtime metrics and human-defined objectives You are hypothesis-driven and enjoy designing experiments and evaluation loops, whether through simulations, benchmarks, or live systems You thrive in ambiguity, enjoy reading papers and building prototypes, and want to help shape the future of infrastructure in the AI era You enjoy collaborating across research, engineering, and product to bring scientific insights to practical outcomes Benefits and Growth
Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business. Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. The compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers benefits for this role including healthcare, dental, parental planning, mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $187,000—$240,000 USD About Datadog
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. We champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. Here are our Candidate Legal Notices for your reference. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines. Seniority level
Mid-Senior level Employment type
Full-time Job function
Research, Analyst, and Information Technology Software Development Equal Opportunity continued. Referrals increase your chances of interviewing at Datadog by 2x
#J-18808-Ljbffr