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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 employer: Nscale
Contact Detail:
Nscale Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infra Observability Engineer
✨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. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. We love candidates who can communicate their ideas clearly and work well with others.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for innovative minds to join our team!
We think you need these skills to ace AI Infra Observability Engineer
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 shows you're not just familiar with the theory but have practical skills too.
✨Scripting Skills Matter
Since proficiency in scripting languages like Python or Go is key, prepare to showcase your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code beforehand. It’s a great way to demonstrate your technical prowess.
✨Collaboration is Key
This role involves working across teams, so be ready to talk about your collaborative experiences. Share examples of how you've worked with others to build scalable solutions. Highlighting your teamwork skills can set you apart from other candidates.
✨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 that you fit into their culture can make a big difference.
