Staff Engineer, Compute & Kubernetes Capacity Orchestration

United States Digital Space LLC

Dublin

Hybrid

EUR 140,000 - 190,000

Full time

4 days ago

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Benefits offered by this job

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Employee stock purchase plan

Career development

Mentor program

Inclusive culture

Job summary

Datadog is seeking a Staff Engineer for the Compute – Disruption and Workload Placement team to shape how our Kubernetes fleet scales for AI and cloud-native workloads. You will ensure capacity across AWS, Google Cloud, and Azure, and influence platform architecture in a hybrid work environment.

You will lead capacity management, design scheduling systems, and develop production software in Go to improve orchestration and efficiency.

Qualifications

Experience designing and operating large-scale Kubernetes-based infrastructure.
Strong programming skills, ideally in Go or a comparable systems language.
Hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure).
Proven track record of providing technical leadership across teams.

Responsibilities

Lead the technical direction of capacity management and workload placement for the Kubernetes platform across multiple cloud providers.
Design and build systems to optimize scheduling and deployment across regions while balancing capacity, reliability, and performance.
Collaborate with infrastructure teams to evolve multi-region/multi-cloud capacity orchestration.
Develop production software in Go to improve Kubernetes capabilities and operational efficiency.
Use data and capacity signals to influence infrastructure decisions and forecasting.