Staff Engineer, Compute

Datadog; Madrid; Híbrido; EUR 110.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work environment

Descripción de la vacante

Datadog is seeking a Staff Engineer for the Compute - Disruption and Workload Placement team to scale our Kubernetes fleet across AWS, Google Cloud, and Azure. You will design capacity orchestration, influence platform architecture, and deliver Go-based production systems to improve scheduling and deployment of AI and cloud-native workloads.

You'll partner with infrastructure teams to push multi-region capacity orchestration as Datadog continues to scale, applying data-driven forecasts to

Formación

• Significant experience designing and operating large-scale Kubernetes-based infrastructure or platform systems.
• Experienced software engineer with strong programming skills, ideally in Go or a comparable systems language.
• Hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure).
• Strong systems mindset and ability to solve complex infrastructure, scheduling, or capacity management challenges.
• Comfortable working with operational data, capacity forecasting, or analytical approaches that inform engineering decisions.
• Proven track record of providing technical leadership across teams and influencing architecture without direct management authority.

Responsabilidades

• Lead the technical direction of capacity management and workload placement for Datadog's Kubernetes platform spanning 100,000+ VMs across multiple cloud providers.
• Design and build systems that optimize how engineering workloads are scheduled and deployed across regions while balancing capacity constraints, reliability, and performance.
• Partner across infrastructure teams to evolve multi-region and multi-cloud capacity orchestration as Datadog scales.
• Develop production software in Go to improve Kubernetes platform capabilities, automation, and operational efficiency.
• Use data and capacity signals to influence infrastructure decisions, forecast growth, and improve workload placement strategies.

Conocimientos

Kubernetes

Go

Distributed systems

Cloud platforms

Technical leadership

Descripción del empleo

As a Staff Engineer on Datadog's Compute - Disruption and Workload Placement team, you'll help define how our Kubernetes fleet scales to meet the demands of rapidly growing AI and cloud-native workloads. You'll work on the systems that ensure engineering teams have the right compute capacity, in the right region, at the right time across AWS, Google Cloud, and Azure. This is a highly technical, high-impact role where you'll shape the future of capacity orchestration, influence platform architecture, and solve infrastructure challenges that directly support Datadog's continued growth.

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 the technical direction of capacity management and workload placement for Datadog's Kubernetes platform spanning 100,000+ virtual machines across multiple cloud providers.
• Design and build systems that optimize how engineering workloads are scheduled and deployed across regions while balancing capacity constraints, reliability, and performance.
• Partner across infrastructure teams to evolve multi-region and multi-cloud capacity orchestration as Datadog continues to scale.
• Develop production software in Go to improve Kubernetes platform capabilities, automation, and operational efficiency.
• Use data and capacity signals to influence infrastructure decisions, forecast growth, and improve workload placement strategies.

Who You Are

• You have significant experience designing and operating large-scale Kubernetes-based infrastructure or platform systems.
• You are an experienced software engineer with strong programming skills, ideally in Go or a comparable systems programming language.
• You have hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure) and understand distributed cloud infrastructure.
• You have a strong systems mindset and enjoy solving complex infrastructure, scheduling, or capacity management challenges.
• You are comfortable working with operational data, capacity forecasting, or analytical approaches that inform engineering decisions.
• You have a proven track record of providing technical leadership across teams and influencing architecture without relying on direct management authority.

Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That's okay.

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.

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.

Equal Opportunity at Datadog

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

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