обновлено 1 день назад
Senior Security Engineer (AI/Cloud)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Security Engineer (AI/Cloud) (Application, Cloud, and AI Security): Securing application code, cloud architectures, CI/CD pipelines, and emerging AI/ML systems with an accent on DevSecOps, incident response, and secure design. Focus on investigating cloud and AI-related incidents, assessing risks such as prompt injection and data poisoning, and strengthening controls across AWS, Azure, and GCP environments.
Location: Lisbon, Portugal
Company
provides regulatory and sustainability intelligence, compliance tools, and environmental, health, and safety strategy support to global businesses, including Fortune 500 companies.
What you will do
- Conduct security reviews of application code and AWS, Azure, and GCP cloud architectures.
- Integrate security controls, automated testing, and vulnerability management into CI/CD pipelines and DevSecOps workflows.
- Partner with Application Engineering and Cloud Platform teams on secure design patterns throughout the software development lifecycle.
- Support security reviews of AI/ML systems, pipelines, managed AI services, and inference endpoints.
- Lead investigation, mitigation, and recovery efforts for security incidents affecting cloud and AI/ML environments.
- Track emerging cybersecurity and AI security threats and improve security controls accordingly.
Requirements
- At least 5 years of professional cybersecurity experience, with a strong background in application security and/or cloud security.
- Bachelor’s or advanced degree in computer science, artificial intelligence, mathematics, or a related field, or relevant cybersecurity certifications in lieu of a degree.
- Experience with AppSec, SSDLC, CI/CD security, code reviews, DevSecOps, vulnerability management, and secure coding practices.
- Knowledge of OWASP Top 10, networking fundamentals, OSI, security protocols, firewalls, operating systems, IAM, encryption, virtual machines, and containers.
- Experience with incident investigation and response, API security testing, Python or PowerShell, and cloud environments such as AWS, Azure, or GCP.
- Fluency in English is required.
Nice to have
- Exposure to AI/ML security, LLM security, adversarial attacks, data poisoning, model inversion, inference endpoint security, or managed AI services such as Azure OpenAI, AWS Bedrock, and GCP Vertex AI.
- Familiarity with the OWASP LLM Top 10.
- Relevant certifications such as CISSP, CEH, CCSP, or OSCP.
- Additional language skills.
Culture & Benefits
- Flexible home-working policy.
- Competitive salary package and benefits.
- Work-life balance in a fast-paced and driven environment.
- Collaborative international environment with opportunities to work independently and transparently.
- sponsors and supports an AI security certification such as AAISM or CompTIA SecAI+.
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