At a Glance
- Tasks: Build and scale the reliability foundations of an AI cloud platform.
- Company: Join Wayve, a pioneer in AI technology for automated driving.
- Benefits: Enjoy a hybrid work policy, competitive salary, and growth opportunities.
- Other info: Be part of a dynamic team shaping the future of technology.
- Why this job: Make a real impact in the future of AI and automated driving.
- Qualifications: Experience in SRE roles with strong Kubernetes and cloud systems skills.
The predicted salary is between 60000 - 80000 € per year.
Wayve is seeking a Cloud Site Reliability Engineer to build and scale the reliability foundations of their AI cloud platform. This founding role involves defining frameworks, automation, and operational standards, ensuring the infrastructure operates efficiently.
Candidates should have experience in SRE roles with strong skills in Kubernetes and cloud systems. The role is full-time with a hybrid working policy, allowing flexibility between office and remote work.
Join Wayve to contribute to pioneering AI technology in automated driving.
Founding Cloud SRE — AI Platform & GPU Clusters (Hybrid) in London employer: Icehouseventures
Wayve is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for those passionate about pioneering AI technology. With a hybrid working policy, employees enjoy the flexibility of balancing remote and office work while being part of a dynamic team dedicated to building robust cloud infrastructure. The company prioritises employee growth through continuous learning opportunities and encourages contributions that shape the future of automated driving.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Cloud SRE — AI Platform & GPU Clusters (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Wayve on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your SRE expertise, make sure to highlight it during interviews. It’s a great way to demonstrate your hands-on experience with Kubernetes and cloud systems.
✨Tip Number 3
Prepare for technical challenges! Brush up on your problem-solving skills and be ready to tackle real-world scenarios related to cloud reliability. Practice makes perfect, so don’t skip this step!
✨Tip Number 4
Apply through our website! We want to see your application directly, so head over to our careers page and submit your details. It’s the best way to ensure we notice you!
We think you need these skills to ace Founding Cloud SRE — AI Platform & GPU Clusters (Hybrid) in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and cloud technology shine through. We want to see how your passion aligns with our mission at Wayve, so don’t hold back!
Highlight Relevant Experience:Make sure to showcase your experience in SRE roles, especially with Kubernetes and cloud systems. We’re looking for candidates who can hit the ground running, so be specific about your skills and past projects.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the job description. We appreciate when candidates take the extra step to connect their experiences with what we’re looking for.
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 this exciting opportunity at Wayve!
How to prepare for a job interview at Icehouseventures
✨Know Your SRE Fundamentals
Make sure you brush up on your Site Reliability Engineering principles. Understand the key concepts of reliability, availability, and performance metrics. Be ready to discuss how you've applied these in past roles, especially in relation to Kubernetes and cloud systems.
✨Showcase Your Automation Skills
Prepare examples of how you've implemented automation in previous projects. Whether it's through scripting or using tools like Terraform, be specific about the challenges you faced and how your solutions improved efficiency. This will demonstrate your hands-on experience and problem-solving abilities.
✨Understand Wayve's Mission
Familiarise yourself with Wayve's work in AI and automated driving. Being able to articulate why you're excited about their technology and how you can contribute to their goals will set you apart. Show that you’re not just looking for any job, but that you’re genuinely interested in their mission.
✨Prepare for Hybrid Work Dynamics
Since this role offers a hybrid working policy, think about how you can effectively collaborate in both remote and office settings. Be ready to discuss your strategies for communication and teamwork in a flexible environment, as this will show your adaptability and readiness for the role.
