CLOUD VIRTUALIZATION ENGINEER
- Full-time · Mid-Senior level
- 201-500 employees
About the job
We are looking for passionate cloud virtualization with 3-5 years of experience to help build, scale and manage our supercomputing data center platforms. We are big proponents of opensource software and heavily use it throughout our infrastructure. Our technology stack is primarily made up of Python/Go, Openstack, docker, TF, puppet etc along with the best performing hardware solution from Nvidia, the world's fastest WSE-2 AI accelerator, and other networking and storage technologies commonly utilized for supercomputing.
You will be responsible for planning, designing and implementing our private cloud and network automation solutions across various physical locations. This individual will help the engineering team select technologies, implement the architecture, and manage environments across various regions.
What you bring
- Foremost is the ability to quickly learn and pickup new tools and technologies
- Atleast 3 years of experience in building private clouds using one of openstack, CloudStack, vmware ESXi, cloudshift, xen, citric, Hyper-V etc.
- Good knowledge of concepts related to cloud ranging from Virtualization, Hypervisors, Networking, Storage
- Extensive IP Networking knowledge in physical and virtual environments
- Excellent coding skills in at least two of python/go/bash/c++
- Experience in like of - OVS, SRIOV, QEMU, infinity band, etc
- Ability to debug applications and infrastructure to ensure low latency and high-availability
- Deep understanding of security and data protection.
What you get
- Chance to develop supercomputing private clouds from scratch using the best industry tools and hardware
- Orchestrate deep learning jobs over GPU clusters and other AI accelerators
- Gain a deep understanding of GPU throughput optimization and CUDA contexts
- Creating and deploying secure remote access solutions
- Design cluster control panels and manage user access management
- Chance to develop and open source custom terraform providers and config management tools for various vendor devices, plugins for openstack and other private cloud platforms.
At nFerence Labs, the "Google of Biomedicine", we are building the world's first massive-scale platform for pharmaco-biomedical computing. Our platform is premised on using AI/Deep Learning (on clinical text, medical images, and other signals) and massive high-performance computing to help pharma companies perform faster and more efficient drug discovery, and also help early diagnosis of several key diseases.
We collaborate heavily with premier medical institutions such as the Mayo Clinic and build systems to get deep medical insights from patient information including patient notes and lab information, medical images, ECGs, etc. We are a well-funded company and are looking to grow on all fronts.
Our team is a blend of CS folks and domain experts (biological science and medical MDs, PhDs, etc) constituting a unique community built of alumni from the likes of MIT, Harvard, the IITs, IISc, and other premier institutions.
Why should you join us?
Work with some of the brilliant minds of the world solving exciting real world problems through Artificial Intelligence, Machine Learning, analytics and insights through triangulating unstructured and structured information from the biomedical literature as well as from large scale molecular and real world datasets.
Our benefits package includes the best of what leading organizations provide, such as stock options, paid time off, healthcare insurance, gym/broadband reimbursement.
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