The opportunity
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…
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.
You have significant experience designing and operating large-scale: Kubernetes-based infrastructure or platform systems.
What they're looking for
- 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.
