Staff Engineer, Compute

DataDog
Lisbon
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Technical leadership","Systems thinking","Problem-solving","Influencing architecture"]

Shape Datadog’s Kubernetes capacity orchestration by leading technical direction for workload placement, scheduling, and multi-region capacity management across AWS, Google Cloud, and Azure. Build production systems in Go that optimize reliability and performance for a fleet of 100,000+ virtual machines. Partner with infrastructure teams using capacity and operational data to forecast growth and improve placement strategies, influencing platform architecture through technical leadership.

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DataDog
DataDog
2 days ago

Staff Engineer, Compute

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Last checked: 2 hours agoStatus: Live

Job Summary

Shape Datadog’s Kubernetes capacity orchestration by leading technical direction for workload placement, scheduling, and multi-region capacity management across AWS, Google Cloud, and Azure. Build production systems in Go that optimize reliability and performance for a fleet of 100,000+ virtual machines. Partner with infrastructure teams using capacity and operational data to forecast growth and improve placement strategies, influencing platform architecture through technical leadership.
Location: Lisbon
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead technical direction for capacity management and workload placement for Datadog’s Kubernetes platform.
  • •Design and build systems that schedule and deploy workloads across regions while balancing constraints, reliability, and performance.
  • •Partner with infrastructure teams to evolve multi-region, 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.

Pay and Benefits

Equity and Bonus:Equity
Perks:RsusEquity

Key Requirements

  • •Significant experience designing and operating large-scale Kubernetes-based infrastructure or platform systems.
  • •Strong software engineering 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) and distributed cloud infrastructure.
  • •A systems mindset with experience solving complex infrastructure, scheduling, or capacity management problems.
  • •Comfort working with operational data, capacity forecasting, or analytical approaches that inform engineering decisions.
Experience:KubernetesCloud infrastructureDistributed systems
Skills:Technical leadershipSystems thinkingProblem-solvingInfluencing architecture
Languages:English
Tech Stack:KubernetesGoAWSGoogle CloudAzure

Company Brief

DataDog
Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2010
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn