Staff Engineer, Compute

The shape of it

In the posting’s own words

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.

What it asks for · 6

• 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.

What the job covers

• 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.

Tools and skills named

Words the posting leans on

• capacity8×
• infrastructure6×
• cloud5×
• systems5×
• platform4×
• engineering3×
• experience3×
• right3×
• technical3×
• workload placement3×
• architecture2×
• aws google2×
• azure2×
• build2×
• capacity management2×
• capacity orchestration2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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