At a Glance
- Tasks: Design and operate cloud-native infrastructure for deploying AI workloads.
- Company: Join Luxoft, a leader in innovative tech solutions.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Collaborative environment focused on operational excellence and security.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience with Kubernetes, AWS, and Infrastructure-as-Code tools required.
The predicted salary is between 60000 - 80000 £ per year.
Luxoft is seeking a Platform Infrastructure Engineer to design and operate cloud-native infrastructure for deploying AI workloads. The role involves creating secure, scalable solutions and collaborating with AI engineers to enhance operational excellence.
The ideal candidate will possess deep experience with Kubernetes and AWS, and proficiency in Infrastructure-as-Code tools. A strong background in security-sensitive environments is crucial for this position.
Cloud-Native AI Platform Engineer: Kubernetes & AWS employer: Luxoft
At Luxoft, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on cutting-edge cloud-native technologies in a supportive environment. Located in a vibrant tech hub, we provide our team with unique advantages, including access to industry-leading projects and a strong focus on work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud-Native AI Platform Engineer: Kubernetes & AWS
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Kubernetes and AWS. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects related to cloud-native infrastructure. This is your chance to demonstrate your expertise in Infrastructure-as-Code tools and security practices.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of Kubernetes and AWS. Practice common scenarios and be ready to discuss how you've tackled challenges in security-sensitive environments.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives us a chance to see your application in the best light possible.
We think you need these skills to ace Cloud-Native AI Platform Engineer: Kubernetes & AWS
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Kubernetes and AWS. We want to see how you've tackled cloud-native infrastructure in the past, so don’t hold back on those details!
Showcase Your Skills:When writing your cover letter, focus on your proficiency with Infrastructure-as-Code tools. We love seeing candidates who can demonstrate their technical skills and how they’ve applied them in security-sensitive environments.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the role!
Apply Through Our Website:Don’t forget to submit your application through our website! It helps us keep everything organised and ensures your application gets the attention it deserves.
How to prepare for a job interview at Luxoft
✨Know Your Tech Inside Out
Make sure you brush up on your Kubernetes and AWS knowledge. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Security Savvy
Since the role involves working in security-sensitive environments, prepare examples that highlight your experience with security best practices. Discuss how you've ensured secure deployments and managed risks in previous roles.
✨Demonstrate Collaboration Skills
This position requires working closely with AI engineers, so be prepared to talk about your teamwork experiences. Share instances where you collaborated on projects, focusing on how you communicated and resolved conflicts.
✨Familiarise Yourself with Infrastructure-as-Code
As proficiency in Infrastructure-as-Code tools is essential, make sure you can discuss your experience with tools like Terraform or CloudFormation. Be ready to explain how you've used these tools to automate infrastructure deployment and management.
