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- Tasks: Support deployment of AI-powered platforms and optimise Kubernetes infrastructure.
- Company: Leading technology services company in the UK with a focus on innovation.
- Benefits: Remote work, travel opportunities across EMEA, and competitive salary.
- Why this job: Join a dynamic team and make an impact in the AI and Kubernetes space.
- Qualifications: Strong DevOps background with experience in Linux and Kubernetes.
- Other info: Exciting customer-facing role with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A technology services company in the UK is looking for a Delivery Engineer to support the deployment of its AI-powered platform. The role involves working closely with customers and partners to deploy and configure Kubernetes infrastructure, optimize AI workflows, and handle integrations with external systems.
As a customer-facing technical position, candidates should have a strong DevOps background and experience in Linux and Kubernetes. The position allows for remote work with possibilities of travel across EMEA.
Delivery Engineer - AI & Kubernetes (EMEA) | Remote in London employer: Fogsphere
Contact Detail:
Fogsphere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Delivery Engineer - AI & Kubernetes (EMEA) | Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with AI and Kubernetes. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects related to AI and Kubernetes. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on common DevOps scenarios and Kubernetes challenges. We recommend practising with mock interviews to boost your confidence and nail those tricky questions.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Delivery Engineer - AI & Kubernetes (EMEA) | Remote in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Kubernetes and AI workflows. We want to see how your skills match the role, so don’t be shy about showcasing your DevOps background!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Delivery Engineer role and how your past experiences make you a perfect fit for our team.
Showcase Your Customer-Facing Skills: Since this is a customer-facing position, let us know about your experience working directly with clients. Share examples of how you've successfully communicated technical concepts to non-technical audiences.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Fogsphere
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Kubernetes and AI workflows. Be ready to discuss your previous experiences with these technologies, as well as any challenges you've faced and how you overcame them. This will show that you're not just familiar with the tools, but that you can effectively use them in real-world scenarios.
✨Showcase Your Customer-Facing Skills
Since this role is customer-facing, prepare examples of how you've successfully communicated technical concepts to non-technical stakeholders. Think about times when you’ve had to manage expectations or resolve conflicts, and be ready to share those stories during the interview.
✨Demonstrate Your DevOps Mindset
Highlight your DevOps experience by discussing how you've implemented CI/CD pipelines or automated processes in past roles. Be specific about the tools you used and the impact your work had on project delivery. This will help the interviewers see that you understand the importance of collaboration and efficiency in tech deployments.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Practice articulating your thought process when faced with a technical challenge, especially in relation to deploying and configuring Kubernetes infrastructure. This will demonstrate your analytical skills and ability to think on your feet.
