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Technical Enablement Manager 3 (Italian Speaking)
We are Datadog's in-house product experts. The Technical Solutions team (Datadog’s post-sales enablement function) enables Datadog's worldwide growth by educating potential clients and ensuring that existing…
Senior Software Engineer - Security Libraries
Build and maintain security libraries for Datadog's runtime security products, focusing on .NET or Java, to instrument applications and APIs for vulnerability monitoring and threat detection.
Senior Software Engineer - Incident Insights & Readiness
Build and improve incident response tools and frameworks for Datadog engineers, analyzing failures to drive reliability and operational excellence using Go, Python, and Kubernetes.
Senior Platform Security Engineer
Build and secure Datadog’s cloud infrastructure and Kubernetes-based platform by designing systemic security controls and enabling engineers to ship secure solutions efficiently.
Senior Software Engineer - Bazel Tools
Build and maintain Bazel-based build, test, and packaging tools for Datadog’s large monorepo, improving developer productivity and CI performance across Go, Python, Java, Rust, and TypeScript.
Engineering Manager I, Commercial Audit
As the Engineering Manager for Commercial Audit, you will lead a high-performing team responsible for scaling Datadog’s security and compliance posture through automation, tooling, and engineering excellence. Our GRC…
Manager I, Engineering - Security Libraries
Lead a team maintaining Datadog’s security libraries (.NET, Java, Go, Node.js, Python, Ruby, PHP) and proxy integrations, driving exploit prevention, WAF detections, and AI-assisted capabilities for runtime security products.
Equity Administration Assistant Manager
Datadog is a world-class monitoring and security platform for cloud applications. We're dedicated to creating, developing, and supporting our product and customers, fostering seamless collaboration and…
Sales Engineer - Enterprise
The Sales Engineer will act as a technical expert for enterprise clients, conducting product demonstrations, managing technical evaluations, and collaborating with internal teams to drive sales. The role involves leveraging deep technical knowledge of cloud and container technologies to solve customer business challenges.
Services Architect 3 - Paris/London
Design and lead Datadog platform implementations for customers—gathering requirements, building technical architecture, writing automation/deployment templates, and managing projects. Core tech: AWS/Azure/GCP, Docker/Kubernetes, Terraform/Ansible, CI/CD pipelines, and scripting languages.
DevOps Engineer (Observability)
Build and scale Twilio’s next-gen observability platform using OpenTelemetry, ClickHouse, and AWS, driving telemetry pipelines, metrics, and tracing to improve incident response and cost efficiency.
Forward Deployed Data Scientist
Forward Deployed Data Scientist partnering with health system customers to transform messy healthcare data into ML-ready pipelines, deploying LLM-based models and analytics using Python, PyTorch/TensorFlow/HuggingFace, and MLOps tools like Airflow and Docker.
Inżynier DevOps
The DevOps Engineer will focus on automating and building environments for central systems using CI/CD, Infrastructure as Code, and Kubernetes. The role involves managing infrastructure, monitoring with Prometheus and Grafana, and working with cloud platforms like GCP or Azure.
GCP Data Engineer
The GCP Data Engineer will develop and maintain data processing solutions within the Google Cloud Platform, focusing on building batch and streaming pipelines. The role involves using Python, SQL, and various GCP services to support analytics and reporting in a banking environment.
Senior Data Engineer
Builds and maintains a financial customer’s data platform using Databricks, SQL, and Python, collaborating with data and IT teams to ensure scalable data solutions and governance.
Middle/Senior Forward Deployed Engineer (Python, AI)
A Forward Deployed Engineer embedding in client environments across Canada to design, develop, and deploy production-grade AI agents, data pipelines, and applications using Python, LLM frameworks, and cloud platforms, with 25–50% travel.