Staff Cloud Engineer

Graphcore; West of England; Hybrid; GBP 85,000 - 125,000; Full time

Benefits offered by this job

Flexible working

Annual leave policy

Private medical insurance

Dental plan

Pension (matched)

Life assurance

Job summary

Graphcore in Bristol is seeking an experienced Staff Engineer to join the CloudPlatform Team. You will deploy services on our fleet of AI systems, extend OpenStack-based clouds, and work across Software Platform, Datacentre Operations and Product Development to deliver scalable cloud solutions.

You’ll use Infrastructure-as-Code, monitoring, and high-performance networking to optimize services. The role requires hands-on cloud deployment, automation and strong collaboration with teams and vendors.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• Solid infrastructure or IT experience with a proven track record delivering technical output as an individual contributor.
• Experience managing or operating on-premises or private-cloud environments.
• Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints.
• Strong Linux scripting ability (bash and python).
• Strong Linux system administration (Ubuntu, RHEL and variants).
• Experience with a version control system (Git) and using it to manage system configuration or automation.
• Experience with CI or testing pipelines using GitLab, GitHub or similar.
• Hands-on experience deploying services into public or private clouds using Infrastructure-as-Code (IAC).
• Understanding of APIs, virtualization, virtual networks, block storage, resource management and monitoring.
• Experience with IAC automation tools (Terraform/OpenTofu, Ansible, Packer).
• Experience with container deployment and management tools (Docker, Kubernetes).
• Experience with monitoring/observability tools (Grafana, Prometheus, OpenSearch, ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd, Kafka).
• Good communication and presentation skills, and experience dealing with end-users of IT or cloud services.
• Ability to work independently on critical infrastructure without oversight.

Responsibilities

• Operate and extend existing OpenStack-based cloud services and contribute to deployment and development of new ones.
• Develop and operate end-user services on our clouds and support internal users in their use.
• Turn end-user and product requirements into deployed services.
• Build automation to collect and analyse metrics and observability data from cloud services.
• Work with Datacentre Operations Engineers to maintain AI systems in private clouds.
• Configure and test new Graphcore AI hardware and systems using CI and Infrastructure-as-Code.
• Drive corrective actions for systems not operating correctly with DC operations and Graphcore Engineering.
• Collaborate with external vendors to specify, benchmark and integrate 3rd party products into our Cloud Reference Design.

Skills

OpenStack expertise

Infrastructure as Code

Linux administration

CI/CD pipelines

Observability

Cloud platforms

Automation scripting

Container orchestration

Education

Bachelor’s degree or equivalent practical experience

Tools

Docker

Kubernetes

Git

Terraform/OpenTofu

Ansible

Packer

GitLab/GitHub CI

OpenStack tooling

Job description

AboutGraphcore

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 foran experiencesStaffEngineer to join our CloudPlatformTeam and help develop and deploy clouds and services. Working closely with our colleagues inSoftware 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.

TheSoftwarePlatform team atGraphcore

We build Graphcore products into large-scale AI solutions for our customers and the CloudPlatform 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.

Responsibilitiesand Duties

• Operate and extend existing OpenStack -based cloud services and contribute to the deployment and development of new ones.
• Develop and operate end-user services on our 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.
• 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 technicaloutput as an individual contributor.
• Experience managing or operating on-premises or private-cloud environments.
• Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities,risks, issues, impacts and constraints.
• Strong proven L​inux 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, podman, apptainer).
• Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSea rch, ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd,Kafka
• Goodcommunication 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 ).
• Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.
• 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, LSF, Kueue).
• 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.

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