Senior Engineer - Cloud Development

Posted 3 Days Ago
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Bristol, England
Hybrid
Senior level
Artificial Intelligence • Semiconductor
Joining Graphcore gives you a seat at the top-table, shaping the future of Artificial Intelligence.
The Role
The Senior Engineer will develop and deploy cloud services, integrate AI systems, automate metrics collection, and manage infrastructure, focusing on delivering high-performance solutions.
Summary Generated by Built In

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 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, 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 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 observability 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. 

 

Skills and Experience [ALL REQUIRED] 

  • Bachelor's degree or equivalent practical experience in a relevant subject. 
  • Solid infrastructure 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 and python required). 
  • 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. 
  • Hands-on experience deploying services into public or private clouds using Infrastructure-as-Code (IAC). 
  • A solid understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring. 
  • Experience with IAC automation tools (e.g. Terraform/OpenTofu, Ansible, Packer). 
  • Experience with container deployment and management tools (e.g. docker). 
  • Experience with solutions for monitoring and observability. e.g. GrafanaPrometheusOpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd ,Kafka 
  • Good communication and presentation skills, and experience dealing with end-users of IT or cloud services. 
  • An ability to work independently on critical infrastructure without oversight, and with a focus on end-user availability.  

Desirable but not required:  

  • Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU ).  
  • Strong skillset and experience in HPC networking and virtualised RDMA NICs. 
  • Strong 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 (SLURM, LSFKueue).  
  • Experience with managed switch configuration (e.g. EOS, SONiC, DNOS).  
  • Programming experience with Python3 utilising classes and inheritance. 
  • Programming experience with Go. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.


Sponsorship

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

Top Skills

Ansible
Bash
Ceph
Docker
Elasticsearch
Fluentd
Git
Git
Gitlab
Grafana
Kafka
Kubernetes
Kvm
Linux
Loki
Mimir
Open Vswitch
Opensearch
Openstack
Opentelemetry
Packer
Prometheus
Python
Qemu
Terraform

What the Team is Saying

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The Company
HQ: Bristol
488 Employees
Year Founded: 2016

What We Do

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.

Why Work With Us

Our team is at the forefront of the machine intelligence revolution, enabling innovators from all industries to build AI-native products to expand human potential. What we do at Graphcore really makes a difference.

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Graphcore Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

At Graphcore, we value wellbeing and flexibility to support a healthy work/life balance. Our hybrid approach encourages office-based colleagues to work onsite three days a week, with trusted flexibility built on trust and transparency for everyone.

Typical time on-site: 3 days a week
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