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Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee…
Staff DevOps Engineer at Minitab will design and evolve CI/CD pipelines, drive infrastructure-as-code adoption, support production systems with on-call and incident response, and mentor engineers while shaping long-term cloud and operational strategy. Core stack includes Jenkins, GitLab CI/CD, GitHub Actions, Ansible, Puppet, Docker, Kubernetes, and AWS/Azure/GCP with Python and Bash scripting.
Build a Safer World. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity,…
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.
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.
Builds low-level Linux security instrumentation and runtime threat detection using eBPF and kernel internals to protect cloud-native workloads at Datadog's security platform.
Leads product strategy for Datadog’s Observability Data Platform, shaping cost-efficient telemetry ingestion and routing while collaborating with engineering to define long-term architectural bets.
Leads Datadog's developer advocacy efforts in APJ, coaching engineers, creating technical content, and organizing events to build community and product awareness.
Leads technical due diligence and strategic evaluation of AI, cloud, and security startups for potential acquisition, working closely with Datadog’s leadership to assess product fit and integration risks.
Designs and leads the product direction for Datadog's Modern Compute team, focusing on autoscaling for complex cloud environments like Kubernetes, ensuring engineers can make confident, data-driven decisions about reliability, performance, and cost.
Lead the visual direction of Datadog’s platform, refining hierarchy, layout, and interaction patterns to make a dense, technical product clearer and more cohesive for users.
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