What you will be doing:
Provide leadership in the design and implementation of our large-scale compute cloud that enables the world's top chip modelers, designers, and deep learning experts to invent groundbreaking technology.
Identify architectural changes or completely innovative approaches in our cloud architecture and design.
Help with strategic challenges we encounter, including: effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and planning for multi-year growth and scaling across our global computing environment!
What we need to see:
Bachelor degree or equivalent experience in Computer Science, Electrical Engineering or related field, with 5+ years of experience designing and operating large scale compute infrastructure.
Experience with job schedulers such as IBM/Platform LSF, SGE, SLURM, Marathon, Chronos.
Solid understanding of cluster configuration managements tools Ansible, Puppet, Chef, Salt.
Good experience providing compute services using a public cloud (AWS, Azure, Google Cloud).
Strong script-writing skills: Python, Bash, Perl.
Knowledge of and/or experience deploying PaaS microservices Docker, Docker Swarm, Kubernetes.
Strong understanding of networking concepts and implementation of Linux-based infrastructure solutions.
Understanding of fast distributed and network attached storage solutions and Linux file systems, ability to recommend and implement solutions to improve OS performance and reliability.
