Cloud AI Security Engineer
Description For Cloud AI Security Engineer
Qualysoft Group, established in 1999 in Vienna, is seeking a Cloud Security Engineer with a strong focus on AI/ML services to join their team of 400+ employees across 6 subsidiaries. This role combines cloud security expertise with AI/ML technologies, working for a global financial services firm where technology and security are fundamental to operations. The position offers an opportunity to shape and secure cloud-native AI solutions at enterprise scale.
The ideal candidate will work across major cloud platforms (Azure, AWS, GCP), conducting security research and implementing enterprise-wide security requirements for AI/ML services. This role requires a blend of technical expertise in cloud security, AI/ML understanding, and strong communication skills to work with various stakeholders.
Qualysoft emphasizes personal growth and development, maintaining an open-door policy and transparent work culture. The company focuses on serving financial services providers, telecommunications companies, the automotive industry, and energy service providers. They pride themselves on providing innovative IT solutions while maintaining honesty, development opportunities, and a stable work environment.
The position offers exposure to cutting-edge technologies and the chance to work on diverse projects that provide continuous learning opportunities. The company culture encourages fresh ideas and innovation, making it an ideal environment for professionals looking to make a significant impact in cloud security and AI/ML technologies.
Responsibilities For Cloud AI Security Engineer
- Conduct security research and testing of AI/ML services across Azure, AWS, and GCP
- Define and drive enterprise-wide security requirements for AI/ML cloud services
- Collaborate with engineering teams to align security controls with real-world AI/ML use cases
- Identify risks and propose effective mitigations in time-sensitive projects
- Provide security expertise and guidance on scalable, reusable security solutions
- Document and present technical and business risks to senior stakeholders
Requirements For Cloud AI Security Engineer
- Strong background in Information Security, risk assessment, and security architecture
- In-depth knowledge of cybersecurity threats, vulnerabilities, and countermeasures
- Hands-on experience with at least one major Cloud Service Provider (Azure, AWS, GCP)
- Familiarity with AI/ML cloud services such as Azure AI Foundry, AWS Bedrock, and Google Vertex AI
- Excellent communication, problem-solving, and stakeholder management skills
- Practical experience in an enterprise information security environment
- Ability to thrive in high-pressure, fast-paced, and dynamic global settings
Jobs Related To Qualysoft Cloud AI Security Engineer
