About the role
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.
Responsibilities, requirements, fit, evidence and preparation are organized here. The original posting stays available for final verification.
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.
What they’re looking for
Select a requirement to inspect fit, evidence or application context.
- 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.
How they work
- 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.
- p style="color: white;">#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.
How to apply
- If you’re passionate about technology and want to grow your experience, we encourage you to apply.
- Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Benefits & working conditions
- 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.
- p style="color: white;">#LI-Hybrid
About Datadog
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