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- Tasks: Design and manage cloud infrastructure for AI systems, ensuring scalability and security.
- Company: Leading tech firm focused on AI and cloud innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 5+ years in cloud engineering with strong Azure experience.
- Other info: Exciting projects with potential for higher salary based on skills.
The predicted salary is between 48000 - 72000 £ per year.
Please be aware that the provided salary range serves as a general reference. If you possess exceptional skills or can significantly contribute to the project’s success, we are open to considering higher salaries beyond the specified range.
Skills
- Degree in Computer Science, Engineering, or equivalent experience
- 5+ years of experience in cloud or infrastructure engineering
- Strong experience with Azure cloud services (preferred)
- Knowledge of infrastructure-as-code, CI/CD pipelines, and automation
- Experience supporting AI workloads (training, inference, data pipelines)
- Understanding of security, monitoring, and cost optimisation
- Familiarity with containerisation and orchestration technologies
Responsibilities
- Design and manage cloud infrastructure supporting AI systems
- Ensure scalability, security, and reliability of AI workloads
- Support deployment and monitoring of models and services
- Optimise infrastructure performance and operational costs
- Collaborate with AI and engineering teams on platform improvements
- Maintain documentation and operational standards
AI Infrastructure / Cloud Engineer employer: Sapfix Ltd
Contact Detail:
Sapfix Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infrastructure / Cloud Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and cloud engineering space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure cloud services or AI workloads. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss infrastructure-as-code, CI/CD pipelines, and how you've optimised costs in previous roles. Confidence in your expertise can really make a difference!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace AI Infrastructure / Cloud Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud services, especially Azure. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI infrastructure and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Don’t forget to mention your experience with infrastructure-as-code, CI/CD pipelines, and automation. We’re looking for someone who can hit the ground running, so make sure we know what tools and technologies you’re comfortable with.
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 shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Sapfix Ltd
✨Know Your Cloud Stuff
Make sure you brush up on your Azure cloud services knowledge. Be ready to discuss specific projects where you've implemented cloud solutions, especially those related to AI workloads. This will show that you not only understand the theory but have practical experience too.
✨Showcase Your Automation Skills
Prepare examples of how you've used infrastructure-as-code and CI/CD pipelines in your previous roles. Talk about the tools you’ve used and how they improved efficiency or reduced errors. This will demonstrate your ability to streamline processes and enhance productivity.
✨Security and Cost Optimisation Insights
Be ready to discuss your approach to security and cost optimisation in cloud environments. Share any strategies you've implemented to monitor costs or secure infrastructure, as this is crucial for managing AI workloads effectively.
✨Collaboration is Key
Highlight your experience working with cross-functional teams, especially with AI and engineering teams. Discuss how you’ve contributed to platform improvements and maintained documentation standards. This shows you’re a team player who values collaboration.
