Datadog5 days ago

Staff Engineer, Compute

Salary not specified

MARKET

15,900 ₽median for this role

Data Scientist · 115 jobs with disclosed pay

5,000half of the offers: 12,796–20,50043,793

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Dublin

Responsibilities

01Lead the technical direction of capacity management and workload placement for Datadog's Kubernetes platform spanning 100,000+ virtual machines across multiple cloud providers
02Design and build systems that optimize how engineering workloads are scheduled and deployed across regions while balancing capacity constraints, reliability, and performance
03Partner across infrastructure teams to evolve multi-region and multi-cloud capacity orchestration as Datadog continues to scale
04Develop production software in Go to improve Kubernetes platform capabilities, automation, and operational efficiency
05Use data and capacity signals to influence infrastructure decisions, forecast growth, and improve workload placement strategies

01You have significant experience designing and operating large-scale Kubernetes-based infrastructure or platform systems
02You are an experienced software engineer with strong programming skills, ideally in Go or a comparable systems programming language
03You have hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure) and understand distributed cloud infrastructure
04You have a strong systems mindset and enjoy solving complex infrastructure, scheduling, or capacity management challenges
05You are comfortable working with operational data, capacity forecasting, or analytical approaches that inform engineering decisions
06You have a proven track record of providing technical leadership across teams and influencing architecture without relying on direct management authority