Job Description :
Role: containerization Engineer RR
Exp: lake Forest, CA
Skills:
15 + years of experience as Infrastructure Architect / Engineer with deep knowledge of managing compute, storage and networking on standard server environments, virtualization platforms using various hypervisors and container technologies
10+ years of experience in Linux based virtualization platforms such KVM, Zen, or similar Hypervisor
5+ years of experience using open source container technologies such as LXC, Docker, Kubernetes, OpenShift, Pod Man, or similar
3+ years of experience using commercial container technologies such as Kubernetes, ECS, ACS, GCS
5+ years of experience with infrastructure and virtualization technologies on embedded and edge computing systems
5+ years of experience building infrastructure for embedded and edge computing systems
10+ years infrastructure on Linux/Unix based systems including security
Solid experience with containerization solutions and orchestration platforms, both on-prem and cloud based.
Solid experience Orchestration technologies like Kubernetes, Docker Swarm, CoreOS Fleet, etc.
Expertise in virtualization architecture using technologies (VMWare ESX, Red Hat, Hyper-V, etc
Expert hands on administration experience with VMware (ESX, ESXi/vSphere, vCenter, vMotion, DRS) and other virtualization technologies and concepts
Knowledge of multiple hardware platforms (Netapp, Nutanix, Cisco UCS, Nimble, etc.
Solid experience with templating and automation scripting (Chef, Python, Puppet, Ansible, PowerShell, Bash, etc.
Professional experience working with PaaS and IaaS platforms – Azure, AWS, Google, OpenShift, Heroku, etc.
Solid understanding of essential TCP/IP protocols: TCP, UDP, ICMP, SMTP, SNMP, LDAP, DNS, NTP, and understanding of wider set protocols.
Solid understanding of fundamental hardware concepts: disk, memory, CPU, NIC, HBA, firmware, RAID, performance concepts (I/O, paging, swapping, system calls), iSCSI, Fibre Channel, Ethernet, firmware
. • Strong experience with design, development, implementation, and maintenance of large-scale systems, preferably across multiple hardware and software platforms
Extensive experience in performance tuning and optimizing computing platforms.
Experience working on Open Stack platform is a plus