Datadog19 дней назад

Staff Engineer, Compute

Зарплата не указана
РЫНОК
16 333медиана по профессии
Data Scientist · 215 вакансий с указанной зарплатой
5 000половина предложений: 13 167–21 846120 000
Работодатель не указал зарплату — сравните с рынком сами.
Dublin

Обязанности

  • 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

Требования

  • 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

Условия

  • 01Generous and competitive benefits package
  • 02New hire stock equity (RSUs) and employee stock purchase plan
  • 03Continuous career development and pathing opportunities
  • 04Employee-focused best in class onboarding
  • 05Internal mentor and cross-departmental buddy program
  • 06Friendly and inclusive workplace culture
  • 07Hybrid workplace model