At a Glance
- Tasks: Design and maintain systems for monitoring network performance using advanced tools.
- Company: Join a cutting-edge tech company with a focus on innovation.
- Benefits: Enjoy a hybrid work environment and competitive benefits package.
- Why this job: Make an impact by enhancing network observability and guiding junior engineers.
- Qualifications: Strong Python skills, Kubernetes experience, and a passion for automation.
The predicted salary is between 43200 - 72000 £ per year.
A cutting-edge tech company is seeking a Senior Engineer for Network Observability to join their team. You will design and maintain systems that monitor network performance, using tools like Prometheus and Grafana.
The ideal candidate has a strong background in Python, experience with Kubernetes, and is passionate about automation. This role involves collaborating with multiple teams and guiding junior engineers.
The company offers a hybrid work environment and a range of competitive benefits.
Senior Network Observability Engineer — Hybrid & Impactful in London employer: CoreWeave
Contact Detail:
CoreWeave Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Network Observability Engineer — Hybrid & Impactful in London
✨Tip Number 1
Network observability is all about collaboration, so make sure to highlight your teamwork skills during interviews. Share specific examples of how you've worked with different teams to solve complex problems.
✨Tip Number 2
Brush up on your technical skills, especially in Python and Kubernetes. Be ready to discuss your experience with tools like Prometheus and Grafana, as these will likely come up in technical interviews.
✨Tip Number 3
Show your passion for automation! Prepare to talk about projects where you've implemented automation solutions. This will demonstrate your proactive approach and fit for the role.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Senior Network Observability Engineer — Hybrid & Impactful in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, Kubernetes, and any monitoring tools like Prometheus and Grafana. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your background in network observability and automation makes you a perfect fit for our team at StudySmarter.
Be Yourself: Let your personality shine through in your application. We’re looking for someone who’s not just technically skilled but also passionate about collaboration and mentoring junior engineers.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at CoreWeave
✨Know Your Tools Inside Out
Make sure you’re well-versed in Prometheus and Grafana, as these are key to the role. Prepare to discuss how you've used these tools in past projects, and be ready to share specific examples of how they helped improve network performance.
✨Show Off Your Python Skills
Since a strong background in Python is essential, brush up on your coding skills. Be prepared to solve coding challenges or discuss your previous Python projects, especially those related to automation and network observability.
✨Collaboration is Key
This role involves working with multiple teams, so highlight your teamwork experience. Think of examples where you successfully collaborated with others, especially in guiding junior engineers or cross-functional projects.
✨Embrace the Hybrid Work Culture
Familiarise yourself with hybrid work dynamics. Be ready to discuss how you manage your time and productivity in a flexible work environment, and share any experiences that demonstrate your adaptability and self-motivation.