Automation Engineer, Graphcore
2+ days a week in office
Advanced AI systems and services
Be an early applicant
Advanced AI systems and services
501-1000 employees
Be an early applicant
2+ days a week in office
501-1000 employees
Company mission
To make machine learning faster, easier and more intelligent.
Role
Who you are
- Strong experience in DevOps, automation, or platform engineering roles
- Established expertise in developing and maintaining CI/CD pipelines (e.g., GitLab CI, Jenkins, CloudBees or equivalent)
- Experience building workflows for configuration, infrastructure, or SaaS platforms that follow a structured process
- Experience applying approval, validation, and governance controls within CI/CD pipelines
- Proficient programming or scripting abilities (e.g., Python, Go, PowerShell, or similar)
- Experience working with REST APIs and developing automation for systems that rely on APIs
- Experience managing source control systems (e.g., Git) as the definitive reference
- Knowledge of identity and access management principles
- Ability to compose and build scalable, maintainable automation solutions
- Strong problem-solving skills and ability to work in a distributed environment
Desirable
- Experience interacting with Atlassian Cloud APIs (Jira, Confluence)
- Experience implementing configuration-as-code or GitOps-style approaches
- Familiarity with Azure AD or other identity providers
- Experience building internal platforms or automation frameworks
- Knowledge of governance, audit, and compliance requirements
- Experience extending automation patterns across multiple SaaS platforms
What the job involves
- We are looking for a dedicated Automation Engineer to join Graphcore Ltd in Bristol, UK
- This role offers an outstanding opportunity to build and scale automation capabilities across our modern platforms, starting with the Atlassian Cloud and extending to other innovative systems
- You will play a key role in establishing a configuration-as-code model, advancing our automation efforts, and ensuring smooth operations through reliable workflows based on continuous integration and delivery
- You’ll be joining a world-class, multi-disciplinary team known for its strong technical prowess and encouraging culture
- Our team collaborates closely, regularly shares knowledge, and your contributions will make a significant impact on our business
- This is an ambitious and pivotal time for us, with numerous new projects on the horizon. If you're determined to tackle interesting challenges and see your work deliver real-world results, this is the team for you!
- Build and implement CI/CD pipelines to manage configuration changes with validations, approvals, and deployment stages
- Develop and maintain configuration-as-code workflows, ensuring all modifications are version-controlled, auditable, and repeatable
- Build and maintain automated systems for provisioning projects, workflows, permissions, and configurations
- Implement approval gates, policy checks, and validation logic within pipelines to enforce governance and compliance
- Connect CI/CD workflows with identity and access systems (e.g., Azure AD) to guarantee secure and auditable provisioning
- Develop automation using APIs and scripting to manage SaaS platforms, initially focusing on Atlassian
- Compose and build reusable automation frameworks and patterns that can be extended to other systems driven by APIs
- Collaborate with Atlassian Administrators to identify manual processes and transition them into automated workflows
- Work closely with the Lead Atlassian Platform Engineer to implement platform architecture, standards, and governance through code
- Develop tooling to enforce standards, prevent configuration drift, and improve consistency across environments
- Build automation and tooling through the use of relevant programming or scripting languages (e.g., Python, Go, PowerShell)
- Monitor and improve the performance, reliability, and scalability of automation workflows and pipelines
- Support audit and compliance requirements by ensuring all modifications are traceable and managed through pipelines
- Contribute to documentation, standards, and guidelines for automation and platform operations
Our take
The hardware required to train AI models comes at a high cost, both financially and environmentally, producing millions of dollars in expenses and hundreds of tons of greenhouse gases. In response, Graphcore develops accelerator chips designed to expedite AI system training while significantly reducing power consumption.
AI accelerators like those crafted by Graphcore specialise in enhancing specific AI applications, such as artificial neural networks, deep learning, and machine learning. Utilising multicore designs and prioritising low-precision arithmetic or in-memory computing, these accelerators elevate the performance of large AI algorithms, achieving breakthrough results in natural language processing and computer vision.
Graphcore has ambitious plans to create an AI supercomputer, aiming to be one of the most powerful in its class. However, progress on this has extended beyond its planned 2024 debut, and the company was purchased by Softbank later that year. Though the acquisition by the Japanese multinational lowered Graphcore's valuation and highlighted structural problems in the local financing of UK tech pioneers, the buyout will undoubtedly aid the company in its ambitions to shape the future of AI computing.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Dec 2020
$222m
SERIES E
Feb 2020
$150m
SERIES D
Total funding: $682m
Company benefits
- Work-Life Balance: We believe you should have a good work-life balance. Everyone's situation is different, so we offer flexible working arrangements and start and finish times, allowing you to choose when to work from home or come into the office
- Wellbeing: We want to ensure that our employees have the resources and support they need to prioritise their health and wellbeing
- Healthcare: We offer Private Medical Insurance (PMI) to our employees to help them take care of their health and that of their loved ones
- Progression: We prioritise learning and development as an integral part of our culture at Graphcore. Our Talent Development team is dedicated to equipping all our employees with the necessary tools, resources, and support to enhance their skills and reach their full potential in their careers
- Pension: We believe that our employees deserve the best when it comes to planning for their future
- Income Protection: Graphcore understands that unforeseen circumstances can happen, and we want to ensure our employees have the necessary financial security in place
Company HQ
Old City, Bristol, UK
Leadership
Nigel Toon
(Co-Founder & Exec Chair)Previously the President and CEO at picoChip Designs (processors for telecoms). As well as the VP and GM of Europe at Altera (semiconductors, merged with Intel).
Simon Knowles
(Co-Founder & CTO)Founded two successful semiconductor companies, Element14 and Icera, for a combined value of over $1 billion.
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