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- Tasks: Support and maintain advanced AI systems with large Kubernetes clusters.
- Company: Leading AI research organisation in the UK with a focus on innovation.
- Benefits: Competitive salary and hybrid work policy for flexibility.
- Why this job: Join a cutting-edge team and contribute to groundbreaking AI technology.
- Qualifications: Experience in distributed systems and strong programming skills.
- Other info: Dynamic environment with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI research organization in the United Kingdom seeks talented Infrastructure Engineers to join their Core Infrastructure team. In this role, you will support the development, scaling, and maintenance of advanced AI systems, building large Kubernetes clusters and ensuring infrastructure is reliable, scalable, and high-performing.
Ideal candidates will have experience in distributed systems and strong programming skills. This position offers competitive salaries and a hybrid work policy.
Senior Infrastructure Engineer: Kubernetes for AI Compute employer: Anthropic
Contact Detail:
Anthropic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Infrastructure Engineer: Kubernetes for AI Compute
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the organisation on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those involving Kubernetes and distributed systems. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. Focus on technical questions related to AI infrastructure and Kubernetes to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Infrastructure Engineer: Kubernetes for AI Compute
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Kubernetes and distributed systems. 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 AI and infrastructure. We love seeing candidates who can connect their personal interests with our mission.
Showcase Your Programming Skills: Since strong programming skills are key for this role, include examples of your coding experience. Whether it's a project or a specific technology you've worked with, let us know how you’ve used your skills in real-world scenarios.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Anthropic
✨Know Your Kubernetes Inside Out
Make sure you brush up on your Kubernetes knowledge. Be ready to discuss how you've built and managed large clusters in the past, and be prepared to answer technical questions about scaling and reliability.
✨Showcase Your Distributed Systems Experience
Highlight any experience you have with distributed systems during the interview. Prepare examples of challenges you've faced and how you overcame them, as this will demonstrate your problem-solving skills and technical expertise.
✨Demonstrate Strong Programming Skills
Be ready to talk about your programming background. Whether it's Python, Go, or another language, have specific projects in mind that showcase your coding abilities, especially those related to infrastructure and AI.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's infrastructure and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
