Job Description

For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from massive amounts of data - has shown to be deeply effective at solving some of the most complex problems in everyday life.
Farm DevOps works to design, build, and maintain large scale production systems with high efficiency and availability using the combination of software and systems engineering practices. This is a highly specialized discipline that demands knowledge across different systems, networking, coding, database, capacity management, and opensource technologies. Farm DevOps is responsible for developing the solution around our large compute cluster to make it work efficiently and improve the user experience for customer as well as engineers supporting the cluster. Much of our software development focuses on eliminating manual work through automation, performance tuning, and growing the efficiency of production systems. Practices such as limiting time spent on reactive operational work, blameless postmortems, and proactive identification of potential outages factor into iterative improvement that is key to product quality and interesting and dynamic day-to-day work. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn and grow.
What you will be doing:

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  Design, implement and support large scale infrastructure with monitoring, logging, and alerting with promised uptime.
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  Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement.
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  Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity management.
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  Maintain infra and services once they are live by measuring and monitoring availability, latency, and overall system health.
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  Scale systems sustainably through mechanisms like automation and evolve systems by pushing for changes that improve reliability and velocity.
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  Practice sustainable incident response and blameless postmortems.
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  Understand complex and vast infrastructure and support it during on call weeks.
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  Work with different SME and help provide quality resolution to the production issues to the customer.

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  BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent experience.
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  Experience with automation around the Linux system administration.
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  Experience in one or more of the following: Python, Perl.
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  Good understanding of open-source IT Automation tools like Ansible, slat.
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  Interest in crafting, analyzing, and fixing large-scale distributed systems.
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  Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
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  Ability to debug and optimize code and automate routine tasks.

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  Good hands on experience on schedulers like LSF and SLURM.
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  Experience in maintaining and writing automation around the HPC cluster.
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  Strong System Administration skills in Linux.