Senior SRE - GPU Cloud & AI Infrastructure
Senior SRE - GPU Cloud & AI Infrastructure

Senior SRE - GPU Cloud & AI Infrastructure

Full-Time 105000 - 190000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Enhance the reliability of a global GPU cloud and troubleshoot complex issues.
  • Company: Cutting-edge technology company at the forefront of AI infrastructure.
  • Benefits: Competitive salary, health insurance, equity options, and comprehensive benefits.
  • Why this job: Join a dynamic team and work with innovative technologies in AI and cloud.
  • Qualifications: Over 2 years of experience with Kubernetes, Go, and Python.
  • Other info: Opportunity to work hands-on across software, hardware, and operations.

The predicted salary is between 105000 - 190000 Β£ per year.

A cutting-edge technology company is seeking a Senior / Staff SRE to enhance the reliability of their global GPU cloud. The ideal candidate will have over 2 years of relevant experience and expertise in Kubernetes, Go, and Python.

You will work hands-on across software, hardware, and operations, troubleshooting complex issues and contributing to automation.

This role offers a salary range of $175,000 - $320,000 and includes comprehensive benefits like health insurance and equity options.

Senior SRE - GPU Cloud & AI Infrastructure employer: FluidStack

Join a pioneering technology company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the reliability of our global GPU cloud. With competitive salaries and comprehensive benefits, including health insurance and equity options, we prioritise employee growth through continuous learning opportunities and a supportive environment. Located in a vibrant tech hub, this role not only promises meaningful work but also the chance to be part of a forward-thinking team dedicated to pushing the boundaries of AI infrastructure.
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Contact Detail:

FluidStack Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Senior SRE - GPU Cloud & AI Infrastructure

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repo showcasing your projects in Kubernetes, Go, and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for the technical interview! Brush up on your troubleshooting skills and be ready to discuss complex issues you've tackled in the past. We want to see how you think and solve problems, so practice makes perfect!

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Senior SRE - GPU Cloud & AI Infrastructure

Kubernetes
Go
Python
Reliability Engineering
Troubleshooting
Automation
Cloud Infrastructure
Software Development
Hardware Integration
Operational Excellence

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience with Kubernetes, Go, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing GPU cloud reliability and how your hands-on experience can contribute to our team. Keep it engaging and personal!

Showcase Problem-Solving Skills: In your application, share examples of complex issues you've tackled in the past. We love seeing how you approach troubleshooting and automation, so don’t hold back on those success stories!

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!

How to prepare for a job interview at FluidStack

✨Know Your Tech Inside Out

Make sure you brush up on your knowledge of Kubernetes, Go, and Python. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.

✨Showcase Your Problem-Solving Skills

Prepare to talk about complex issues you've troubleshot in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your hands-on experience with software, hardware, and operations.

✨Demonstrate Your Automation Expertise

Since automation is key in this role, think of examples where you've implemented automation solutions. Be ready to explain the impact of these solutions on reliability and efficiency in previous roles.

✨Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the company's GPU cloud infrastructure and their future plans. This shows your genuine interest and helps you assess if the company is the right fit for you.

Senior SRE - GPU Cloud & AI Infrastructure
FluidStack
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  • Senior SRE - GPU Cloud & AI Infrastructure

    Full-Time
    105000 - 190000 Β£ / year (est.)
  • F

    FluidStack

    50-100
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