FactSet
FactSet
FactSet инвестициялық мамандар мен қаржы ұйымдарына арналған біріктірілген қаржылық деректерді, аналитикалық шешімдер мен бағдарламалық жасақтаманы әзірлейді. Оның платформасы инвестициялық зерттеу, портфельді басқару, активтерді басқару және тәуекелдерді талдау үшін ақпарат пен құралдарды біріктіріп, командаларға күрделі деректермен жұмыс істеуге және түрлі актив сыныптарындағы мүмкіндіктерді бағалауға көмектеседі. FactSet сондай-ақ қаржы компанияларының талдауларға қол жеткізу, нарықтарды зерттеу және инвестициялық шешімдер қабылдау тәсілдерін жетілдіру үшін жасанды интеллект пен деректер технологияларын қолданады. Компания бүкіл әлем бойынша активтерді басқарушыларға, консультанттарға, хедж-қорларға және басқа да ұйымдарға қызмет көрсетеді.

Senior Systems Engineer, Virtual Infrastructure

Operate FactSet’s VMware, KubeVirt, and Harvester environments, supporting financial data and analytics platforms. Build automation and manage virtualization, storage, and networking across infrastructure.

Сипаттама

  • Run and enhance KubeVirt and Rancher Harvester infrastructure for FactSet’s internal developer platform.
  • Design, deploy, and maintain vSphere environments across data centers, offices, global points of presence, and remote client sites.
  • Oversee virtual machine lifecycles on traditional and Kubernetes-based platforms, including live migration, capacity planning, and cluster upkeep.
  • Work with platform and application teams to establish and deliver virtualization capabilities for their workloads.
  • Monitor and resolve performance and reliability problems across vSphere, KubeVirt, and Harvester.
  • Build and maintain distributed storage for virtual machines and containers, including VSAN and Longhorn systems.
  • Automate infrastructure lifecycle tasks with PowerShell, PowerCLI, Terraform, ArgoCD, Flux, and related GitOps tools.
  • Use AI tools to speed up automation work, strengthen runbooks, and improve incident response.
  • Document operational procedures to support efficient, reliable service.
  • Plan and deliver capacity growth for both legacy and cloud-native virtualization platforms.
  • Take part in a scheduled 24/7 on-call rotation.

Талаптар

  • Bring at least five years of experience administering VMware vSphere and ESXi.
  • Understand Kubernetes fundamentals and cluster operations, or be strongly motivated to build that expertise.
  • Have experience scripting and automating with PowerShell and PowerCLI.
  • Apply strong technical, analytical, and communication skills.
  • Manage concurrent projects and set priorities effectively.
  • Know Kubernetes fundamentals, including CRDs, operators, RBAC, networking, persistent volumes, and cluster lifecycle management.
  • Administer VMware vCenter and vSphere/ESXi virtual infrastructure for mixed Windows and Linux guest systems.
  • Have worked with KubeVirt or comparable virtual machine solutions on Kubernetes, such as libvirt, KVM, or QEMU.
  • Be familiar with hyperconverged infrastructure, especially Rancher Harvester.
  • Understand distributed storage systems such as Longhorn or Ceph, including replication, snapshots, and recovery.
  • Know advanced Kubernetes networking, including CNI plugins, Multus CNI for multi-network VM configurations, and network policies.
  • Have experience with infrastructure as code and GitOps workflows using tools such as Terraform, ArgoCD, or Flux.
  • Hold a bachelor’s degree in computer science or engineering, or have equivalent experience.
  • Understand AWS or Google Cloud services and hybrid infrastructure patterns.
  • Have experience with container platforms and runtimes such as containerd and Docker.
  • Be familiar with observability tools including Prometheus, Grafana, and log aggregation platforms.
  • Understand TCP/IP, DNS, LAN/WAN, load balancers, and firewalls.
  • Have experience with non-vSphere hypervisors such as KVM or Xen outside KubeVirt environments.

Артықшылықтар

  • Join a periodic 24/7 on-call rotation supported by a global follow-the-sun approach intended to limit interruptions outside working hours.
  • Use AI tools to accelerate automation development and improve incident response.
  • Work in a culture that values curiosity, inclusive collaboration, and diverse perspectives.

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