At a Glance
- Tasks: Design and implement security controls for AWS cloud platforms and AI workloads.
- Company: Join a forward-thinking company focused on Cyber and AI security.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborate with MLOps and data science teams to secure innovative technologies.
- Why this job: Protect cutting-edge AI systems and combat emerging threats in a dynamic environment.
- Qualifications: Hands-on experience with Amazon GuardDuty and a degree in Computer Science.
The predicted salary is between 60000 - 80000 £ per year.
is looking for a Cyber and AI Security Engineer in London to design and implement security controls for AWS cloud platforms and AI workloads. You will work closely with MLOps, data science, and security teams to protect AI systems against emerging threats and ensure compliance with internal standards.
The ideal candidate will have strong hands-on experience with Amazon GuardDuty, a degree in Computer Science, and preferably AWS Security Specialty certification. This role emphasizes automation and securing data processes.
Cyber & AI Security Engineer for Cloud & GenAI employer: 慨正橡扯
At 慨正橡扯, we pride ourselves on being an exceptional employer in the heart of London, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous training opportunities and a focus on cutting-edge technologies in Cyber and AI security. Join us to be part of a forward-thinking team that values your contributions and supports your professional journey in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Cyber & AI Security Engineer for Cloud & GenAI
✨Tip Number 1
Network like a pro! Reach out to professionals in the Cyber and AI Security field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AWS security and AI workloads. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to cloud security and automation. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Cyber & AI Security Engineer for Cloud & GenAI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS and AI security. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or certifications!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about Cyber and AI Security, and how your background makes you the perfect fit for our team at StudySmarter.
Showcase Your Technical Skills:Since this role focuses on automation and security, be sure to mention any hands-on experience you have with tools like Amazon GuardDuty. We love seeing practical examples of your work!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at 慨正橡扯
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS security tools, especially Amazon GuardDuty. Brush up on your knowledge of cloud security best practices and be ready to discuss how you've implemented these in past roles.
✨Showcase Your Automation Skills
Since the role emphasises automation, prepare examples of how you've automated security processes in previous jobs. Be specific about the tools and techniques you used, and how they improved security outcomes.
✨Understand the AI Landscape
Familiarise yourself with the unique security challenges that come with AI workloads. Be prepared to discuss how you would approach securing AI systems and any relevant experience you have in this area.
✨Collaborate and Communicate
This role involves working closely with various teams. Think of examples where you’ve successfully collaborated with MLOps or data science teams. Highlight your communication skills and how they helped in achieving security goals.
