Senior Solution Architect, Cloud Infrastructure-DevOps

BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 8 years work or research experience in networking fundamentals, TCP/IP stack, and data center architecture.

5+ Years of Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting Manage Linux job/workload schedulers and orchestration tools.

Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software.

Direct design, implementation and management experience with cloud computing platforms (e.g. AWS, Azure, Google Cloud). Experience with job scheduling workloads and orchestration technologies such as Slurm, Kubernetes and Singularity.

Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalld, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.

Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs. Familiarity with newer and emerging storage technologies.

Python programming and bash scripting experience. Comfortable with automation and configuration management tools including Jenkins, Ansible, Puppet/Chef, etc.

Deep knowledge of Networking Protocols like InfiniBand, Ethernet Deep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix).

Strong written, verbal, and listening skills in English are critical.

Knowledge of CPU and/or GPU architecture .

Knowledge of Kubernetes, container related microservice technologies.

Experience with GPU-focused hardware/software (DGX, CUDA.)

Background with RDMA (InfiniBand or RoCE) fabrics.