Remote Linux Platform Engineer - Cloud & Automation

Remote Linux Platform Engineer - Cloud & Automation

Full-Time 49500 - 60500 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design scalable systems and automate infrastructure using cutting-edge tools.
  • Company: Join a leading cyber security team in London with a focus on innovation.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
  • Other info: Collaborative environment with regular office presence to enhance teamwork.
  • Why this job: Make a global impact by applying AI-driven solutions in cyber security.
  • Qualifications: Experience with Linux OS, scripting, and Infrastructure as Code (IaC) tools.

The predicted salary is between 49500 - 60500 Β£ per year.

Client Server is seeking a Linux Platform Engineer to join our cyber security team in London.

You will contribute to architectural decisions, infrastructure automation, and platform improvements across cloud services, applying AI-driven approaches to protect clients globally.

The role offers a hybrid work model with regular office presence twice weekly.

You will work with Linux OS, scripting, and Ia C tools to design scalable systems capable of handling high loads, while collaborating with a

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Remote Linux Platform Engineer - Cloud & Automation employer: Client Server

Join a dynamic and innovative FinTech company that values technical expertise and offers a collaborative work culture. With a competitive salary of up to Β£100k plus bonuses, you'll have the opportunity to make a significant impact while enjoying hybrid working arrangements in London. The company prioritises employee growth, providing ample opportunities for career progression and staying at the forefront of emerging technologies in the finance sector.

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Contact Details:

Client Server Recruitment Team

We think you need these skills to ace Remote Linux Platform Engineer - Cloud & Automation

Linux OS
Scripting
Infrastructure as Code (IaC)
Cloud Services
Architectural Decision-Making
Automation
AI-driven Approaches