Senior Cloud Engineer (K8S)

Graphcore
Bristol, United Kingdom
21 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Bristol, United Kingdom

Tech stack

API
Agile Methodologies
Artificial Intelligence
Computing Platforms
AWK (Programming Language)
Bash
Ubuntu (Operating System)
Cloud Computing
Cloud Engineering
Computer Programming
System Configuration
Continuous Delivery
Continuous Integration
Data Centers
Microprocessors
Elasticsearch
Github
Monitoring of Systems
Python
Linux System Administration
OpenStack
Scrum
Red Hat Enterprise Linux - RHEL
Cloud Services
Ansible
Prometheus
Shell Script
Software Engineering
Sed (Programming Language)
Cloud Platform System
High Performance Computing
Grafana
Gitlab
GIT
Kubernetes
Information Technology
Hardware Acceleration
Slurm
Cloud Integration
Terraform
Network Server
Software Version Control
Block Storage

Job description

We are looking for a Senior 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 and developing pre-release hardware and software, so it's vital you are comfortable with unproven components.

Responsibilities and Duties

  • Develop and operate Kubernetes-managed 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.
  • 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.

Requirements

  • Bachelor's degree or equivalent practical experience in a relevant subject.
  • Experience with managing production Kubernetes clusters and workloads with a continuous delivery tool such as ArgoCD.
  • Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor.
  • Experience working in an AGILE and SCRUM framework, including understanding of 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 IAC automation tools (Terraform/OpenTofu, Ansible, Packer).
  • Good communication and presentation skills, and experience dealing with end-users of IT services.
  • An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end-user availability.

Desirable but not required:

  • Experience with Openstack cloud platforms.
  • Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki.
  • Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.
  • Programming experience with Python3 utilising classes and inheritance.

Benefits & conditions

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.

About the company

About Graphcore How often do you get the chance to build a technology that transforms the future of humanity? Graphcore products have set the standard in made-for-AI compute hardware and software, gaining global attention and industry acclaim. Now we are developing the next generation of artificial intelligence compute with systems that will allow AI researchers to develop more advanced models, help scientists unlock exciting new discoveries, and power companies around the world as they put AI at the heart of their business. Graphcore recently joined SoftBank Group - bringing large and ongoing investment from one of the world's leading backers of innovative AI companies.

Apply for this position