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- Tasks: Design and manage observability systems for AI workloads in a cutting-edge environment.
- Company: Leading GPU cloud company with a culture of innovation and accountability.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Why this job: Contribute to groundbreaking AI technology and collaborate across diverse teams.
- Qualifications: 2-5 years in related fields and proficiency in Python or Go scripting.
- Other info: Join a dynamic team focused on scalable observability infrastructure.
The predicted salary is between 36000 - 60000 £ per year.
A leading GPU cloud company is seeking an Observability Platform Engineer to design and manage observability systems for AI workloads. The successful candidate will build scalable observability infrastructure and collaborate across teams, ensuring robust monitoring and alerting solutions.
This role requires 2-5 years in related fields and proficiency in scripting languages like Python or Go. Join a culture of innovation and accountability, contributing to groundbreaking AI technology. Remote work options are available.
AI Infra Observability Engineer in London employer: Nscale
Contact Detail:
Nscale Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infra Observability Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving Python or Go. It’s a great way to demonstrate your expertise in observability systems.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI workloads and observability. We recommend practicing with a friend or using mock interview platforms to build confidence.
✨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 AI Infra Observability Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in observability systems and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Python or Go!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI workloads and how you can contribute to our innovative culture. Keep it concise but impactful – we love a good story!
Showcase Your Collaboration Skills: Since this role involves working across teams, highlight any past experiences where you’ve successfully collaborated with others. We’re looking for team players who can communicate effectively and drive results together!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Nscale
✨Know Your Tech
Make sure you brush up on your knowledge of observability systems and AI workloads. Be ready to discuss your experience with monitoring tools and how you've implemented them in past projects. This will show that you understand the technical requirements of the role.
✨Showcase Your Scripting Skills
Since proficiency in scripting languages like Python or Go is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code beforehand. Bring examples of your work to discuss during the interview.
✨Collaboration is Key
This role involves working across teams, so be ready to talk about your experience collaborating with others. Share specific examples of how you've worked with different departments to achieve a common goal, highlighting your communication skills and teamwork.
✨Embrace the Culture
Familiarise yourself with the company's culture of innovation and accountability. Think about how your values align with theirs and be prepared to discuss how you can contribute to their mission. Showing enthusiasm for their work can set you apart from other candidates.
