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- Tasks: Design and manage cloud infrastructure for AI systems, ensuring scalability and security.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real difference in the industry.
- Qualifications: 5+ years in cloud engineering with strong Azure experience and automation skills.
- Other info: Dynamic team environment with excellent career advancement potential.
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 in London employer: Sapfix Ltd
Contact Detail:
Sapfix Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infrastructure / Cloud Engineer in London
✨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’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Infrastructure / Cloud Engineer in London
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. We love hearing personal stories that connect to the role.
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 let us know how you’ve used these skills in past roles.
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 you’re keen on joining our team!
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 that support AI workloads. This will show your expertise and how you can contribute to their success.
✨Showcase Your Automation Skills
Prepare examples of how you've used infrastructure-as-code and CI/CD pipelines in your previous roles. Discuss any automation tools you've worked with and how they improved efficiency. This will highlight your ability to optimise processes and reduce operational costs.
✨Understand the Bigger Picture
Familiarise yourself with the company's AI systems and how they integrate with cloud infrastructure. Being able to discuss scalability, security, and reliability in relation to their specific needs will demonstrate your understanding of the role and its impact on the organisation.
✨Collaboration is Key
Be prepared to talk about your experience working with cross-functional teams, especially AI and engineering teams. Share examples of how you've collaborated on platform improvements or tackled challenges together. This shows you're a team player and can contribute to a positive work environment.
