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Senior Security Engineer at Datadog designs and runs continuous red-team operations, builds automation and AI-driven offensive tooling, and partners with blue teams to improve security across cloud-native environments.
Build and scale Datadog’s observability platform, designing high-performance backend systems and leveraging AI tools to enhance engineering workflows and products.
Build and scale Datadog’s observability platform backend, handling trillions of data points daily while integrating AI tools to improve engineering workflows and product capabilities.
Build and maintain large-scale distributed systems and data pipelines that process billions of events per second, using Go, Java, Rust, or C++ and technologies like Kafka, Redis, and Cassandra.
Build and optimize Datadog's referential data platform (REDAPL), a high-scale graph engine tracking infrastructure resources and relationships for observability and security products.
Lead the design, training, and deployment of GenAI/ML models to build agentic troubleshooting and incident-resolution tools for Datadog’s Application Performance Monitoring product.
Senior Staff Software Engineer at Datadog designs and builds large-scale observability and distributed systems, leading high-impact projects in metrics, logs, and real-time data processing using backend and infrastructure technologies.
Senior Staff Visual Designer at Datadog to define and evolve the company's visual language and design system for AI-driven product surfaces, collaborating with brand, product, and design systems teams.
Owns go-to-market strategy and technical messaging for Datadog’s cloud-native security products, collaborating with product and sales teams to drive adoption and competitive differentiation.
Define and enforce secure-by-default standards for Datadog’s platform, build scalable AppSec tooling, and lead threat modeling for AI-powered features using Go, Python, or Rust.
Lead the design, training, and deployment of GenAI/ML models to build agentic investigation and troubleshooting tools for Datadog's Application Performance Monitoring (APM) product, focusing on distributed tracing and telemetry data.
Designs and prototypes user experiences for Datadog’s APM product, collaborating with engineers and product managers to improve observability workflows for developers.
Senior engineer at Datadog building and scaling observability systems that handle trillions of data points daily, using AI tools to improve software engineering and product development.
Design and lead Datadog’s log ingestion, search, and AI-powered insights systems, scaling distributed pipelines and query performance while collaborating with product and customers.
Design and build high-throughput log processing and observability pipelines that customers deploy and manage in their own cloud infrastructure, using Go/Rust and Kubernetes.
Build and lead Datadog’s ML observability tools for LLM-based AI systems, focusing on tracing, drift detection, and model evaluation to help customers deploy AI reliably in production.
A senior visual designer defines and evolves Datadog’s product visual language, crafting scalable patterns for AI-driven surfaces and collaborating with brand and design systems teams in a hybrid NYC office.
Build and optimize a high-throughput Rust-based streaming client library with Java, Go, and Python bindings, ensuring reliability and performance for Datadog's internal data pipelines.
Own the roadmap for Datadog’s APM product, integrating AI-driven insights and automation to help engineers troubleshoot distributed systems and optimize performance.
Leads product strategy and roadmap for Datadog’s Code Security suite, driving revenue growth and customer adoption while managing a team of product managers and collaborating with engineering and GTM teams.
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