Staff Engineer - Data Platform Experience

As a Staff Engineer on the Data Platform Experience team, you'll help shape how Datadog engineering teams build, operate, and evolve products on the Observability Data Platform. You'll lead the design and delivery of shared platform capabilities that reduce developer friction, improve operational visibility, and enable engineering teams to move faster with confidence. This role combines deep distributed systems expertise with technical leadership across multiple teams, influencing platform strategy while remaining hands-on in the code. You'll have the opportunity to solve company-wide challenges spanning cost intelligence, operational tooling, platform health, and developer experience.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You'll Do:

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.

Who You Are:

You have experience designing and building large-scale SaaS or cloud platforms with deep expertise in distributed systems.

You have strong software architecture and system design skills and have successfully led complex technical initiatives across multiple teams.

You have a platform engineering mindset and enjoy building reusable capabilities that enable other engineering organizations to move faster.

You are an effective communicator who can influence technical direction without direct authority and collaborate across organizational boundaries.

You have 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.

Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.

Benefits and Growth:

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 and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

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