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- Tasks: Join a pioneering team to validate AI cloud security findings and conduct deep research into vulnerabilities.
- Company: Well-funded AI security startup at the forefront of cybersecurity innovation.
- Benefits: Remote work, competitive salary, and the chance to influence next-gen security tools.
- Why this job: Shape the future of AI-assisted threat detection and make a real impact in cybersecurity.
- Qualifications: 5+ years in security with expertise in vulnerability research and cloud-native attack vectors.
- Other info: Collaborate with a high-caliber team and enjoy excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
You will join a pioneering security research team at the intersection of generative AI and cybersecurity. As an expert human-in-the-loop, you'll validate cloud vulnerability findings from AI models, conduct deep research into infrastructure threats, and create authoritative labels that train models to distinguish critical risks from noise at scale.
Location: Remote, EU/UK
Why this role is remarkable:
- Pioneer the future of AI-assisted threat detection by defining how large language models understand and prioritize real-world cloud security vulnerabilities.
- Join a high-caliber team of hands-on leaders with a track record of successful exits, IPOs, and leadership roles at major tech firms.
- Direct product influence where your day-to-day research insights shape the development of next-generation security tools used by thousands of organizations.
What you will do:
- Lead high-volume vulnerability labeling operations and validate cloud security findings to create high-quality training data for AI models.
- Conduct comprehensive research into vulnerabilities affecting EC2, Docker, and cloud infrastructure while building proof-of-concept exploits to validate threat scenarios.
- Translate patterns from your research into actionable product improvements by collaborating directly with engineering and machine learning teams.
The ideal candidate:
- Possesses 5+ years of hands-on security experience with a strong background in vulnerability research and cloud-native attack vectors (AWS/Containers).
- Demonstrates strong technical investigation skills with proficiency in Python or Go for automating research tasks and creating validation tools.
- Combines an analytical mindset with a product-focused approach, capable of communicating complex technical findings to both technical and business stakeholders.
Security Engineer & Researcher at well-funded AI security startup employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Security Engineer & Researcher at well-funded AI security startup
✨Tip Number 1
Get to know Jack! He’s your go-to AI for understanding your skills and career goals. A quick chat with him can help tailor your approach and make you stand out to Jill and her clients.
✨Tip Number 2
Don’t just wait for the perfect job to pop up! Actively engage with Jack and let him know what roles you’re interested in. The more he knows, the better he can match you with opportunities that fit your vibe.
✨Tip Number 3
Prepare for your chat with Jill! Brush up on your experience and be ready to discuss how your skills align with the role of Security Engineer & Researcher. Confidence is key, so show them what you’ve got!
✨Tip Number 4
Follow up after your conversation! A simple thank-you note or message can keep you fresh in Jill's mind. It shows your enthusiasm and professionalism, which can make a big difference in landing that dream job.
We think you need these skills to ace Security Engineer & Researcher at well-funded AI security startup
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on security experience and any relevant projects you've worked on. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application: Customise your application to reflect the specific requirements of the Security Engineer & Researcher role. Use keywords from the job description to show that you understand what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and skills.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to connect you with Jack and ensure your application gets the attention it deserves.
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Stuff
Make sure you brush up on your knowledge of cloud security vulnerabilities, especially around EC2 and Docker. Be ready to discuss specific examples from your past experience that showcase your hands-on skills in vulnerability research.
✨Show Off Your Technical Skills
Since the role requires proficiency in Python or Go, prepare to talk about how you've used these languages in your previous projects. Maybe even bring along a small code snippet or tool you've developed to demonstrate your automation skills.
✨Communicate Clearly
You’ll need to explain complex technical findings to both techies and non-techies. Practice summarising your research in simple terms, so you can show that you can bridge the gap between technical and business stakeholders.
✨Be Ready to Collaborate
This role involves working closely with engineering and machine learning teams. Think of examples where you've successfully collaborated in the past, and be prepared to discuss how you can contribute to product improvements based on your research insights.
