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cture or platform systems. - 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 pr
Location & work details
Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.
- Original location
- Dublin, Ireland; Madrid, Spain; Paris, France
- Country
- Dublin, Ireland; Madrid, Spain; Paris, France (ATS location fields)
- Country
- Dublin, Ireland; Madrid, Spain; Paris, France (ATS location fields)
- Country
- Dublin, Ireland; Madrid, Spain; Paris, France (ATS location fields)
- Stack
- - Develop production software in Go to improve Kubernetes platform capabilities, automation, and operational efficiency. (Source language/tool mention)
- Stack
- 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 compute capacity, in the right region, at the right time across AWS, Google Cloud, and Azure. This is a highly technical, high-impact role where you'll shape the future of capacity orchestration, influence platform architecture, and solve infrastructure challenges that directly support Datadog's continued growth. (Source language/tool mention)
- Stack
- 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 compute capacity, in the right region, at the right time across AWS, Google Cloud, and Azure. This is a highly technical, high-impact role where you'll shape the future of capacity orchestration, influence platform architecture, and solve infrastructure challenges that directly support Datadog's continued growth. (Source language/tool mention)
- Stack
- n the right region, at the right time across AWS, Google Cloud, and Azure. This is a highly technical, high-impa (GTM description)
- Stack
- , at the right time across AWS, Google Cloud, and Azure. This is a highly technical, high-impact role whe (GTM description)
- Normalization
- Explicit source location text; no city-only country inference.
Employer posting
Staff Engineer, ComputeSource details
Company identifier: Datadog
Source ID: greenhouse:datadog:8139277
Board: greenhouse:datadog
Evidence field: description
Match rule: alternative_in_list
Go matches in source: 1
Department as supplied: Dev Eng
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