Staff Engineer: Kubernetes Capacity & Multi-Cloud Orchestration

Datadog; Paris; Hybrid; EUR 120,000 - 190,000; Full time

Benefits offered by this job

RSUs

Employee stock plan

Career development

Onboarding

Mentor program

Inclusive culture

Job summary

Datadog is seeking a Staff Engineer on the Compute – Disruption and Workload Placement team to define how our Kubernetes fleet scales for AI and cloud-native workloads. You will ensure compute capacity across AWS, Google Cloud, and Azure, shaping capacity orchestration and platform architecture.

The role emphasizes hands-on Go development, large-scale systems experience, multi-region coordination, and technical leadership without direct management authority, all within a hybrid work setup.

Qualifications

• Significant experience designing and operating large-scale Kubernetes-based infrastructure or platform systems.
• Strong programming skills, ideally in Go or a comparable systems programming language.
• Hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure).
• Strong systems mindset and solving complex infrastructure, scheduling, or capacity management challenges.
• Ability to provide technical leadership across teams without direct management authority.
• Experience with operational data and capacity forecasting to inform decisions.

Responsibilities

• 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 scales.
• 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.

Skills

Kubernetes

Go

Cloud infra

Distributed systems

Technical leadership

Job description

Datadog is seeking a Staff Engineer on the Compute – Disruption and Workload Placement team to define how our Kubernetes fleet scales for AI and cloud-native workloads. You will ensure compute capacity across AWS, Google Cloud, and Azure, shaping capacity orchestration and platform architecture.

The role emphasizes hands-on Go development, large-scale systems experience, multi-region coordination, and technical leadership without direct management authority, all within a hybrid work setup.