2 months ago
Paris, France +2 moreStaff+
Responsibilities
- Lead strategic engineering initiatives that improve how teams build, operate, and evolve services on the Observability Data Platform.
- Design and build scalable cost intelligence capabilities for cloud cost allocation, trend analysis, and optimization recommendations.
- Develop operational intelligence and self-service tooling for platform health, incident troubleshooting, and operational efficiency.
- Build reusable platform services and developer workflows that reduce operational complexity across products.
- Provide cross-team technical leadership through architecture influence, mentoring, engineering standards, and hands-on contributions.
- Participate in the on-call rotation and improve platform reliability, observability, and operational excellence.
Requirements
- Experience designing and building large-scale SaaS or cloud platforms with deep distributed systems expertise.
- Strong software architecture and system design skills, including leading complex technical initiatives across multiple teams.
- Platform engineering mindset focused on reusable capabilities and engineering autonomy.
- Ability to influence technical direction without direct authority and collaborate across organizational boundaries.
- Experience with Java and Go, plus distributed infrastructure including Kafka and Kubernetes.
- Experience with observability platforms, internal developer platforms, operational tooling, developer productivity solutions, or AI-powered engineering workflows is beneficial but not required.
Benefits
- Hybrid workplace arrangement
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
Tech Stack
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.