Graphcore
AI Compute
StaffCloudEngineer
Neural analysis suggests this role is
optimal for Staff candidates.
“Staff Cloud Engineer at Graphcore. Skills: Cloud Platform, Infrastructure-as-Code, AI Systems, Observability. Operate and extend OpenStack-based cloud services. Contribute to deployment and development of new services”
What You'll Achieve.
deploy clouds and services; deploy services on AI systems; build Graphcore products into large-scale AI solutions; provide systems to internal users; provide systems to customers; support clear identification and reporting of issues; maintain and operate AI systems at peak performance; integrate 3rd party products into Cloud Reference Design
Industry & Context.
solve the toughest problems
hold the right to work in the UK, unable to provide visa sponsorship
What They're Looking For.
Must Have
Bachelor's degree or equivalent practical experience, Solid infrastructure or IT experience, Experience managing or operating on-premises or private-cloud environments, Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, proven Linux scripting ability (bash and python required), proven Linux system administration (Ubuntu, RHEL and variants), Experience with a version control system (preferably Git), Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar, Hands-on experience deploying services into public or private clouds using Infrastructure-as-Code (IAC), A solid understanding of the technologies underpinning cloud services, Experience with IAC automation tools, Experience with container deployment and management tools, Experience with solutions for monitoring and observability, Good communication and presentation skills, experience dealing with end-users of IT or cloud services, An ability to work independently on critical infrastructure without oversight, focus on end-user availability
Nice to Have
Experience with OpenStack deployments or the technologies they rely on, Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions, skillset and experience in end-to-end deployment automation and CI of containerised services, Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild, Experience with managing production Kubernetes clusters and workloads, Experience with workload queue management systems, Experience with managed switch configuration, Programming experience with Python3 utilising classes and inheritance, Programming experience with Go
What You'll Do.
Operate and extend OpenStack-based cloud services
Contribute to deployment and development of new services
Develop and operate end-user services on clouds
Support internal users in service use
Build automation for metrics collection and analysis
Analyse observability data for issue identification
Report issues to Engineering and QA departments
Maintain and operate AI systems at peak performance
Configure and test new Graphcore AI hardware
Integrate 3rd party products into Cloud Reference Design
Drive corrective actions for systems
Work with vendors to specify and benchmark products
How You'll Work.
Team & Collaboration
Working closely with colleagues in Software Platform; Working closely with colleagues in Datacentre Operations; Working closely with colleagues in Product Development teams; Work with users to provide product issue information; Work with Datacentre Operations Engineers; Working with Graphcore Engineering
Communication Scope
Good communication skills; Good presentation skills
Process & Methodology
specifying work plans, scoping work plans, estimating work plans, detailing work plans, prioritising work, managing risks, managing issues, managing impacts, managing constraints
Full Job Description
About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for an experiences Staff Engineer to join our Cloud Platform Team and help develop and deploy clouds and services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting-edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high-performance AI solutions. These include in-house AI systems alongside off-the-shelf high-performance servers, switches and storage solutions. This is a hand-on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure-as-Code, observability, high-performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services. The Software Platform team at Graphcore We build Graphcore products into large-scale AI solutions for our customers and the Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using a
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