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Staff Engineer - Data Platform Experience

Datadog· Engineering
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Lisbonfull-timePosted 2mo ago

About the role

Staff Engineer on the Data Platform Experience team responsible for shaping how Datadog engineering teams build, operate, and evolve products on the Observability Data Platform. Leads design and delivery of shared platform capabilities, driving cost intelligence, platform health, and developer experience with hands-on technical leadership across multiple teams.

Responsibilities

  • Lead strategic engineering initiatives that improve how product teams build, operate, and evolve services on the Observability Data Platform.
  • Design and build scalable platform capabilities for cost intelligence, including cloud cost allocation, trend analysis, and optimization recommendations.
  • Develop operational intelligence and self-service tooling that helps engineering teams understand platform health, troubleshoot incidents, and improve operational efficiency.
  • Drive reusable platform services and developer workflows that increase engineering autonomy while reducing operational complexity across multiple products.
  • Provide technical leadership across teams by influencing architecture, mentoring engineers, and raising engineering standards through hands-on technical contributions.
  • Participate in the team's on-call rotation and continuously improve platform reliability, observability, and operational excellence.

Qualifications

  • Experience designing and building large-scale SaaS or cloud platforms with deep expertise in distributed systems.
  • Strong software architecture and system design skills with successful leadership of complex technical initiatives across multiple teams.
  • Platform engineering mindset with ability to build reusable capabilities for other engineering organizations.
  • Effective communication skills to influence technical direction across organizational boundaries.
  • Experience with backend technologies such as Java and Go, and 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.

Skills

Required:Distributed systemsSoftware architectureJavaGoKafkaKubernetes

Benefits

  • Generous and competitive benefits package
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Continuous career development and pathing opportunities
  • Employee-focused best in class onboarding
  • Internal mentor and cross-departmental buddy program
  • Friendly and inclusive workplace culture
Last updated Oct 22, 2026. Interested? Apply on the company site.

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