Senior Systems Engineer - Virtualization
Posted on :
03-05-2024
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1 Vacancy
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Job Description
Req ID : 2784223
- Bachelor’s or Master’s degree in Computer Science, Engineering, Software Engineering, or other relevant technology field.
- 7+ years of experience and deep expertise in designing, implementing, and managing private cloud stacks with the focus on compute and virtualization technologies.
- Extensive hands-on experience with at least one of the following platforms/stacks: OpenStack, Apache CloudStack, VMware VCF and Red Hat OpenShift and related computing technologies such as x86 hardware, OS, KVM/ESXi and orchestration services
- Expert level in Linux and 5+ years of hands-on experience in Linux-based environments.
- Profound understanding of hardware architecture and components [x86 and ARM, NUMA, types of memory and channels, types of NICs, etc.
- Good understanding of network and storage types and architecture.
- Good understanding of Cloud Native concepts and technologies.
- Experience in managing large-scale public or private cloud environments and/or work in a cloud service provider environment is highly desirable.
- Advanced level in programming and scripting using Python and/or Golang, bash.
- Good knowledge in Data center network designs and related technologies [OSI model, TCP/IP stack, routing, VLAN/VxLAN, etc]
- Understanding of storage types, architecture, and protocols such as object/block/file storages, NFS/SMB, iSCSI, FC, etc.
- Knowledge of monitoring and observability tools like Zabbix or Nagios, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana).
- Understanding of CI/CD principles, Infrastructure as Code (IaaC) approach and software defined infrastructure solutions.
- Experience with database management and optimization for both SQL and NoSQL databases such as MySQL, PostgreSQL, MongoDB, or Cassandra is highly desirable.
- Experience with ITSM tools such as Jira, Redmine, ServiceNow etc.
- Relevant certifications in Linux, virtualization and cloud computing are a plus.
- Knowledge and experience working with GPU-hardware and AI hardware accelerators is a plus.
- Strong organizational skills with the ability to multitask and prioritize.
- A proactive approach to problem-solving and decision-making.
Employment Type
Full Time
Department / Functional Area
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