Staff Engineer, Compute

United States Digital Space LLC; Lisboa; Híbrido; EUR 90 000 - 130 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Benefits package

RSUs and ESPP

Career development

Mentor program

Inclusive workplace culture

Resumo da oferta

Datadog in hybrid workplaces is seeking a Staff Engineer to shape how our Kubernetes fleet scales for AI and cloud-native workloads, across AWS, Google Cloud, and Azure. You will influence capacity orchestration and platform architecture while solving infrastructure challenges that support rapid growth.

You will design go-based systems, drive cross-team collaboration, and lead capacity management initiatives that ensure regionally balanced compute availability for our engineering teams.

Qualificações

• Significant experience designing and operating large-scale Kubernetes-based infrastructure.
• Strong programming skills, ideally in Go.
• Hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure).
• Strong systems mindset and capacity/scheduling problem-solving abilities.
• Proven track record of technical leadership across teams.

Responsabilidades

• Lead the technical direction of capacity management and workload placement for the Kubernetes platform across 100,000+ VMs and multiple clouds.
• Design and build systems that optimize scheduling and deployment across regions while balancing capacity, reliability, and performance.
• Collaborate with infrastructure teams to evolve multi-region, multi-cloud capacity orchestration as the company scales.
• Develop production software in Go to enhance Kubernetes platform capabilities, automation, and operations.
• Use capacity signals to inform infrastructure decisions and forecast growth.

Conhecimentos

Kubernetes architecture

Go programming

Distributed systems

Technical leadership

Cloud platforms

Ferramentas

AWS

Google Cloud

Azure

Descrição da oferta de emprego

As a Staff Engineer on the company'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 the company's continued growth.

At the company, 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 the company'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 the company 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.

the company 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 the company.

#LI-Hybrid

About the company

the company 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, the company enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and the company Learning Center.

Equal Opportunity at the company

the company 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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