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- Tasks: Lead the development of large-scale AI systems for reliability and performance.
- Company: A leading AI company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a team advancing safe and beneficial AI technologies.
- Qualifications: 6+ years in infrastructure, skilled in Kubernetes, AWS, and GCP.
- Other info: Encouraging applications from diverse backgrounds, even if all qualifications aren't met.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI company in Greater London seeks a Senior Software Engineer in Infrastructure to join their team. You will lead the development and maintenance of large-scale AI systems that ensure reliability and performance.
Strong candidates will have over 6 years of relevant experience and proficiency in programming languages and cloud infrastructure like Kubernetes, AWS, and GCP. This role is vital in advancing AI technologies that are safe and beneficial.
Candidates are encouraged to apply even if they don’t meet every qualification set.
Senior Infrastructure Engineer — Scale AI Clusters & Cloud employer: Anthropic
Contact Detail:
Anthropic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Infrastructure Engineer — Scale AI Clusters & Cloud
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to cloud infrastructure and AI systems. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and system design scenarios. Practice explaining your thought process clearly, as communication is key in these roles. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box in the job description, we value diverse experiences and perspectives. Your unique background could be just what we’re looking for!
We think you need these skills to ace Senior Infrastructure Engineer — Scale AI Clusters & Cloud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with large-scale AI systems and cloud infrastructure. We want to see how your skills align with the role, so don’t be shy about showcasing your proficiency in Kubernetes, AWS, and GCP!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI technologies and how your background makes you a great fit for our team. We love hearing personal stories that connect your experience to the role.
Showcase Relevant Projects: If you've worked on any projects related to AI or cloud infrastructure, make sure to mention them! We’re interested in seeing real examples of your work that demonstrate your ability to lead and innovate in this space.
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 shows us you’re keen to join our team!
How to prepare for a job interview at Anthropic
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages and cloud infrastructure mentioned in the job description, like Kubernetes, AWS, and GCP. Brush up on your knowledge of large-scale AI systems and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in infrastructure engineering and how you tackled them. This role is all about reliability and performance, so demonstrating your ability to solve complex problems will set you apart.
✨Understand the Company’s Vision
Research the company’s mission and recent advancements in AI technology. Being able to articulate how your skills align with their goals will show that you’re genuinely interested and invested in their work.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project timelines, and future developments in AI at the company. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
