At a Glance
- Tasks: Join our Cloud Development Team to create and deploy cutting-edge AI services.
- Company: Graphcore is a leading innovator in AI compute, part of the transformative SoftBank Group.
- Benefits: Enjoy flexible working, generous leave, private medical insurance, and a commitment to diversity.
- Why this job: Be part of a diverse team driving AI breakthroughs and making a real impact.
- Qualifications: Bachelor's degree or equivalent; strong software engineering or IT experience required.
- Other info: Applicants must have the right to work in the UK; no visa sponsorship available.
The predicted salary is between 43200 - 72000 £ per year.
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.
It develops hardware, software, and systems infrastructure to enable the next generation of AI breakthroughs and promote widespread AI adoption across industries.
As part of the SoftBank Group, Graphcore belongs to an elite family of companies responsible for transformative technologies. Their shared vision is to enable Artificial Super Intelligence and make its benefits accessible to all.
Graphcore’s teams are diverse, comprising AI research specialists, silicon designers, software engineers, and systems architects, fostering a culture of continuous learning and innovation.
Job Summary
We seek a Staff Engineer for our Cloud Development Team to develop and deploy services. Collaborating with Platform Engineering, Data Centre Operations, and Product Development teams, you will deploy services on our advanced AI systems, including in-house hardware and off-the-shelf servers, switches, and storage solutions. This hands-on role requires a strong background in cloud infrastructure, Infrastructure-as-Code deployment, networking, and storage systems. Experience in IT, data centres, cloud providers, or orchestration/cloud services is desirable.
The Platform Engineering Team at Graphcore
We integrate Graphcore products into large-scale AI solutions for internal and external customers, often working with pre-release hardware and software, requiring comfort with unproven components.
Responsibilities and Duties
- Develop and operate end-user services on private clouds, supporting internal users and translating requirements into deployed services.
- Build automation for metrics collection and analysis to identify and report issues, working with users and engineering teams.
- Maintain and operate AI system fleets in private clouds in collaboration with Data Centre Operations Engineers.
- Configure and test new hardware and systems using Continuous Deployment and Infrastructure-as-Code in data centres.
- Integrate third-party hardware solutions into our Cloud Reference Design in partnership with vendors.
Skills and Experience
- Bachelor\’s degree or equivalent in a relevant field.
- Proven software engineering or IT experience with a track record of delivering results.
- Experience working within AGILE and SCRUM frameworks.
- Strong Linux scripting skills (bash, python, awk, sed).
- Linux system administration experience (Ubuntu, RHEL).
- Experience with version control systems (preferably Git).
- Familiarity with CI/CD pipelines (GitLab, GitHub).
- Understanding of cloud service technologies (APIs, virtualization, networks, storage, resource management).
- Experience with Infrastructure-as-Code tools (Terraform, Ansible, Packer).
- Experience with container management (Docker).
- Knowledge of monitoring and observability tools (Grafana, Prometheus, ElasticSearch, Loki).
- Good communication and end-user support skills.
- Ability to work independently on critical infrastructure with minimal oversight.
Desirable Skills
- Experience with OpenStack cloud platforms.
- Managing production Kubernetes clusters.
- Python3 programming with classes and inheritance.
Graphcore offers a competitive salary, flexible working, generous leave, private medical insurance, pension contributions, and a commitment to diversity and inclusion. Note: Applicants must have the right to work in the UK; visa sponsorship is not available at this time.
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Staff Engineer - Cloud Development employer: Cerebras
Contact Detail:
Cerebras Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Engineer - Cloud Development
✨Tip Number 1
Familiarise yourself with Graphcore's products and their applications in AI. Understanding how their hardware and software work together will give you an edge during discussions and interviews.
✨Tip Number 2
Network with current or former employees of Graphcore on platforms like LinkedIn. Engaging with them can provide insights into the company culture and the specific skills they value, which can be beneficial for your application.
✨Tip Number 3
Showcase your experience with Infrastructure-as-Code tools like Terraform and Ansible in practical scenarios. Be prepared to discuss specific projects where you've implemented these technologies effectively.
✨Tip Number 4
Brush up on your Linux scripting skills, particularly in bash and Python. Being able to demonstrate your proficiency in these areas during technical discussions will highlight your suitability for the role.
We think you need these skills to ace Staff Engineer - Cloud Development
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cloud infrastructure, software engineering, and any specific technologies mentioned in the job description, such as Infrastructure-as-Code tools and container management.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also demonstrates your understanding of Graphcore's mission and how you can contribute to their Cloud Development Team.
Showcase Relevant Projects: Include examples of past projects or experiences that align with the responsibilities listed in the job description, particularly those involving automation, metrics collection, and cloud services.
Highlight Soft Skills: In addition to technical expertise, emphasise your communication skills and ability to work independently, as these are crucial for collaborating with various teams at Graphcore.
How to prepare for a job interview at Cerebras
✨Showcase Your Technical Skills
Make sure to highlight your experience with cloud infrastructure, Infrastructure-as-Code tools, and Linux scripting during the interview. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Demonstrate Problem-Solving Abilities
Graphcore values innovation and problem-solving. Prepare examples of challenges you've faced in previous roles and how you overcame them, particularly in relation to cloud services and automation.
✨Familiarise Yourself with AGILE and SCRUM
Since the role involves working within AGILE and SCRUM frameworks, brush up on these methodologies. Be ready to discuss how you've applied them in past projects and how they can benefit team collaboration.
✨Ask Insightful Questions
Prepare thoughtful questions about Graphcore's technology stack, team dynamics, and future projects. This shows your genuine interest in the company and helps you assess if it's the right fit for you.