14 hours ago
Paris, FranceSenior
Responsibilities
- Lead a greenfield initiative from inception to scale and shape its foundational product architecture.
- Engage directly with users to refine early concepts.
- Build mission-critical, fault-tolerant, horizontally scalable solutions for multi-tenant environments.
- Develop AI-driven components that analyze operational workflows and automate software maintenance.
- Own features and components end to end, including reliability, observability, and operational quality.
Requirements
- 6+ years of experience.
- BS, MS, or PhD in a scientific field or equivalent experience.
- Proficiency in Go.
- Experience building and operating production services end to end.
- Experience with large-scale distributed systems.
- Ability to use, validate, critique, and refine AI-generated output from AI coding tools.
- Preferred experience with Kubernetes, workflow orchestration systems, or AI agents.
Benefits
- Hybrid workplace arrangement.
- New hire stock equity through RSUs and an employee stock purchase plan.
- Continuous professional development, product training, and career pathing.
- Intradepartmental mentor and buddy program.
- Inclusive company culture, Community Guilds, and Inclusion Talks.
- Global mental health benefits for employees and dependents age 6+.
- Competitive global benefits.
Tech Stack
Categories
About Datadog
Datadog builds a SaaS observability and security platform that monitors infrastructure, applications, logs, and services for engineering and DevOps teams. Its products include infrastructure monitoring, APM, log management, real user monitoring, and cloud security, sold via subscriptions and used across cloud-native and hybrid environments. Founded in 2010 and headquartered in New York City, Datadog is a public company trading on NASDAQ under the ticker DDOG.