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2026 Graduate Software Engineer - DevOps
Исключительная возможность для выпускника: работа в структуре SoftBank над передовыми ИИ-технологиями. Отличный социальный пакет, офис в Бристоле с бариста-баром и четкий путь развития в High-Performance Computing.
Сложность вакансии
Для выпускника позиция имеет средний уровень сложности: требуются фундаментальные знания Computer Science и владение Linux, но компания готова обучать специфике HPC и Kubernetes. Основной вызов заключается в высоком конкурсе и необходимости понимания принципов распределенных систем.
Анализ зарплаты
Предлагаемая зарплата для выпускников в Graphcore обычно соответствует верхнему сегменту рынка Бристоля для Tier-1 технологических компаний. Рыночный диапазон для Graduate Engineer в этом регионе составляет £35,000–£45,000, при этом Graphcore часто предлагает бонусы и расширенный соцпакет.
Сопроводительное письмо
I am writing to express my strong interest in the 2026 Graduate Software Engineer - DevOps position at Graphcore. As a student passionate about the intersection of infrastructure and machine learning, I have closely followed Graphcore’s innovations in AI compute. The opportunity to work within the SoftBank Group and contribute to the scaling of HPC AI platforms is exactly the kind of challenge I am seeking for my career start.
During my studies and personal projects, I have developed a solid foundation in Python and Linux environments, along with a deep understanding of CI/CD principles. I am particularly drawn to your team's focus on eliminating toil and implementing long-term engineering solutions using tools like Kubernetes and Terraform. My experience with containerization and my commitment to continuous learning align perfectly with Graphcore’s culture of innovation.
I am eager to bring my technical skills and proactive mindset to the Software Infrastructure team. Thank you for considering my application. I look forward to the possibility of discussing how I can contribute to the success of your build and release processes.
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Описание вакансии
About us
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.
It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
Job Summary
Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.
The Team
The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible.
Responsibilities and Duties
- Supporting the delivery and ongoing maintenance of tools and services to support the software build and release process
- Deploy and maintain services with Kubernetes and Docker
- Supporting the ongoing management of our Cloud Infrastructure using tools such as Terraform
- Working closely with development teams working on the ML Software Stack (SDK)
Candidate Profile
Essential:
- Bachelor or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field
- Knowledge of Python/Go/Java/C++ (or similar language)
- Experience managing or developing in Linux environments
- Understanding of CI/CD principles
- Strong communication skills
Desirable
- Experience using Kubernetes (k8s) or OpenStack
- Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu)
- Experience with GitHub Actions
- Experience with build tools (e.g. CMake)
- Experience with Grafana
- Familiarity with cloud services (e.g. AWS)
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.
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Навыки
- Python
- Go
- Java
- C++
- Linux
- CI/CD
- Kubernetes
- Docker
- Terraform
- GitHub Actions
- CMake
- Grafana
- AWS
Возможные вопросы на собеседовании
Проверка базовых навыков автоматизации и владения языком, указанным в требованиях.
Напишите скрипт на Python, который рекурсивно ищет все лог-файлы в директории и архивирует те, что старше 7 дней.
Оценка понимания фундаментальных концепций DevOps и CI/CD.
Объясните разницу между непрерывным развертыванием (Continuous Deployment) и непрерывной доставкой (Continuous Delivery).
Проверка знаний в области контейнеризации, которая является ключевой для данной роли.
В чем разница между образом (Image) и контейнером (Container) в Docker? Как работает многоэтапная сборка (multi-stage build)?
Оценка навыков работы в Linux-среде.
Как бы вы нашли процесс, который занимает порт 8080 в Linux, и как бы вы его завершили?
Проверка архитектурного мышления и понимания масштабируемости.
С какими основными проблемами можно столкнуться при масштабировании CI/CD пайплайнов для большой команды инженеров?
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