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DatadogDatadog

Staff Engineer - Data Platform Experience

Leads the design and delivery of shared distributed-platform capabilities for cost intelligence, operational tooling, reliability, and developer experience. The role requires deep backend and systems expertise with Java, Go, Kafka, and Kubernetes, plus technical leadership across multiple engineering teams.

About the job

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.

Requirements

  • Experience designing and building large-scale SaaS or cloud platforms, with deep expertise in distributed systems.
  • Strong software architecture and system design skills, with experience leading complex technical initiatives across multiple teams.
  • A platform engineering mindset and interest in building reusable capabilities that enable engineering organizations to move faster.
  • Effective communication skills, with the ability to influence technical direction without direct authority and collaborate across organizational boundaries.
  • Experience with backend technologies such as Java and Go, and distributed infrastructure including Kafka and Kubernetes.

Nice-to-haves

  • Experience with observability platforms, internal developer platforms, operational tooling, developer productivity solutions, or AI-powered engineering workflows.

Compensation and 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.
  • Benefits may vary based on the country of employment and the nature of employment.

Skills

Distributed Systems, Java, Go, Kafka, Kubernetes, Cloud Platforms, SaaS, Software Architecture, System Design, Observability, Platform Engineering, Cloud Cost Allocation, On-Call Operations

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