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Join to apply for the Senior Engineer - Cloud Development role at Graphcore

About Graphcore

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.

About Graphcore

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcoreis a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives.A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.

Job Summary

We are looking for a Senior Engineer to join our Cloud Development Team and help develop and deploy services. Working closely with our colleagues in Platform Engineering, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting-edge AI systems. As part of our Platform Engineering 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 role requiring a solid background in use of cloud infrastructure, deployment using Infrastructure-as-Code, 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 Platform Engineering team at Graphcore

We build Graphcore products into large-scale AI solutions for our customers and the Cloud Development 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 and developing pre-release hardware and software, so it’s vital you are comfortable with unproven components.

Responsibilities And Duties

• Develop and operate end-user services on our private clouds and support internal users in their use. You will turn end-user and product requirements into deployed services.
• Help to build automation to collect and analyse metrics and other data from the cloud services to support clear identification and reporting of any issues. Work with users to provide information of any product-related issues to Engineering and QA departments.
• Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds.
• Operate and extend existing OpenStack-based cloud services and contribute to the deployment and development of new ones.
• Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure-as-code in internal and external datacentres.
• Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering as required.
• Work with external vendors of off-the-shelf switches, servers and storage solutions to specify, benchmark and integrate 3rd party products into our Cloud Reference Design.
  
  

• Bachelor's degree or equivalent practical experience in a relevant subject.
• Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor.
• Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints.
• Strong proven Linux scripting ability (bash, python, awk, sed).
• Strong proven Linux system administration (Ubuntu, RHEL and variants).
• Experience with a version control system (preferably Git) and using it to manage system configuration or automation.
• Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar.
• A solid hands-on understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring.
• Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU ).
• Experience with IAC automation tools (Terraform/OpenTofu, Ansible, Packer).
• Experience with container deployment and management tools (e.g. docker).
• Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki.
• Good communication and presentation skills, and experience dealing with end-users of IT services.
• An ability to work independently on critical infrastructure without oversight, and with a focus on end-user availability.
  
  

• Experience with Openstack cloud platforms.
• Experience with managing production Kubernetes clusters and workloads.
• Experience with workload queue management systems (SLURM, LSF).
• Experience with managed switch configuration (e.g. EOS, SONiC, DNOS).
• Programming experience with Python3 utilising classes and inheritance.
• Programming experience with Go.
  
  

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Semiconductor Manufacturing

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