Requirements

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 You'll Be Doing

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.