Senior SRE: GPU AI Clusters & Platform Engineering in London
Senior SRE: GPU AI Clusters & Platform Engineering

Senior SRE: GPU AI Clusters & Platform Engineering in London

London Full-Time 70000 - 90000 £ / year (est.) No home office possible
Radley James

At a Glance

  • Tasks: Manage and optimise GPU clusters for cutting-edge AI technology.
  • Company: Join a vibrant, young AI firm in the heart of London.
  • Benefits: Competitive salary and the chance to work with next-gen tech.
  • Other info: Dynamic team environment with exciting growth opportunities.
  • Why this job: Be at the forefront of AI innovation and make a real impact.
  • Qualifications: 6+ years in AI or big tech, with cluster management experience.

The predicted salary is between 70000 - 90000 £ per year.

Radley James is seeking a Senior Systems Engineer in London to focus on cluster management and platform engineering for next-generation GPU deployments. The role involves handling high numbers of GPUs, ensuring monitoring and reliability.

Candidates should have 6 years of experience in AI, big tech, or quantitative trading, along with proven experience on clusters of 1000 GPUs or more. This position offers the opportunity to work within a young, dynamic AI firm.

Senior SRE: GPU AI Clusters & Platform Engineering in London employer: Radley James

Radley James is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the heart of London. With a focus on cutting-edge technology and AI, employees benefit from ample growth opportunities and the chance to work alongside industry leaders in a dynamic environment. The company prioritises employee well-being and professional development, making it an ideal place for those seeking meaningful and rewarding careers in the tech sector.
Radley James

Contact Detail:

Radley James Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior SRE: GPU AI Clusters & Platform Engineering in London

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and tech scene, especially those who work with GPU clusters. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

✨Tip Number 2

Show off your skills! Prepare a portfolio or case studies showcasing your experience with large-scale GPU deployments. This will help you stand out during interviews and demonstrate your hands-on expertise.

✨Tip Number 3

Practice makes perfect! Get ready for technical interviews by brushing up on your knowledge of cluster management and reliability engineering. Mock interviews with friends or mentors can really boost your confidence.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!

We think you need these skills to ace Senior SRE: GPU AI Clusters & Platform Engineering in London

Cluster Management
Platform Engineering
GPU Deployment
Monitoring and Reliability
AI Experience
Big Tech Experience
Quantitative Trading Experience
Experience with Large GPU Clusters
Problem-Solving Skills
Adaptability
Team Collaboration
Technical Communication

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with GPU clusters and platform engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in AI and big tech!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about working with GPU deployments and how your background makes you a perfect fit for our dynamic team at Radley James.

Showcase Relevant Experience: When detailing your experience, focus on specific projects where you managed large clusters of GPUs. We love numbers, so if you've worked with 1000 GPUs or more, make sure to highlight that!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at Radley James

✨Know Your GPUs Inside Out

Make sure you brush up on your knowledge of GPU architecture and cluster management. Be ready to discuss your experience with large-scale deployments, especially if you've worked with clusters of 1000 GPUs or more. This will show that you understand the technical requirements of the role.

✨Demonstrate Your Problem-Solving Skills

Prepare to share specific examples of challenges you've faced in previous roles, particularly around monitoring and reliability in AI systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled those issues effectively.

✨Familiarise Yourself with the Company Culture

Research Radley James and their approach to AI and platform engineering. Understanding their values and work environment will help you tailor your responses and demonstrate that you're a good fit for their dynamic team.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's future projects, team dynamics, and the technologies they use. This not only shows your genuine interest in the role but also gives you a chance to assess if this is the right place for you.

Senior SRE: GPU AI Clusters & Platform Engineering in London
Radley James
Location: London

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