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3 дня назад

Graduate Software Engineer, DevOps (AI)

45 000GBP
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Graduate Software Engineer, DevOps (AI): Developing and maintaining build, release, and infrastructure tools for software supporting AI accelerators with an accent on CI/CD, containerisation, cloud infrastructure, and machine learning operations. Focus on deploying services with Kubernetes and Docker, automating engineering workflows, and building reliable release systems at scale.

Location: Bristol, UK. Applicants must already have the right to work in the UK for the full duration of the programme without requiring visa sponsorship.

Salary: £45,000 per annum.

Company

Builds next-generation AI compute spanning semiconductors, software, and datacenter-scale systems for customers working at the AI frontier.

What you will do

  • Develop and maintain tools for software builds and releases.
  • Deploy services using Kubernetes and Docker and support cloud infrastructure managed with Terraform and similar tools.
  • Automate repetitive tasks and improve development, testing, and release workflows.
  • Build tools for software engineers working on an AI accelerator software stack.
  • Work with fellow graduates during the first three months on a new production capability, then continue to own, develop, and maintain it.
  • Gain practical experience with continuous integration and deployment, cloud infrastructure, containerisation, build engineering, release systems, and machine learning operations.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Maths, Machine Learning, Data Science, or a related field.
  • Knowledge of Python, Go, C++, or a similar programming language.
  • Experience developing or managing systems in Linux environments.
  • Understanding of continuous integration and continuous delivery (CI/CD).
  • Communication skills to explain technical work and collaborate with others.
  • Relevant skills may be demonstrated through coursework, a dissertation, personal or team projects, research, or other relevant experience.

Nice to have

  • Exposure or experience with Kubernetes, OpenStack, infrastructure-as-code tools such as Terraform or OpenTofu, GitHub Actions, build tools, high-performance computing (HPC), Grafana, or cloud services such as AWS.

Culture & Benefits

  • Permanent role with a two-year graduate programme focused on hands-on learning and professional development.
  • Flexible working and support for work-life balance.
  • Up to 5% matched pension contributions, phantom equity, income protection, and life assurance.
  • Designed office spaces, free food, and an on-site barista.
  • Flexible benefits including private medical insurance, dental cover, health cash plan, cycle-to-work scheme, and give-as-you-earn.
  • Inclusive and equal-opportunity workplace with interview adjustments available on request.

Hiring process

  • Submit application answers, a CV, and a cover letter.
  • Successful candidates complete a technical assessment.
  • Final-stage candidates attend in-person assessments in early spring; application outcomes are expected by early December.

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