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

The employer didn't disclose pay — compare with the market yourself.

Lisbon

Responsibilities

01Help define how Datadog's Kubernetes fleet scales to meet demands of rapidly growing AI and cloud-native workloads
02Lead the technical direction of capacity management and workload placement for Datadog's Kubernetes platform spanning 100,000+ virtual machines across multiple cloud providers
03Design and build systems that optimize how engineering workloads are scheduled and deployed across regions while balancing capacity constraints, reliability, and performance
04Partner across infrastructure teams to evolve multi-region and multi-cloud capacity orchestration as Datadog continues to scale
05Develop production software in Go to improve Kubernetes platform capabilities, automation, and operational efficiency
06Use data and capacity signals to influence infrastructure decisions, forecast growth, and improve workload placement strategies

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