AI/Cloud Security Engineer – Secure AI & SDLC

Enhesa; Lisboa; Híbrido; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary package

Flexible home-working policy

Accountability and pride for your work

Resumo da oferta

Enhesa is a global compliance partner helping the world’s largest businesses navigate a changing regulatory and sustainability landscape. The role focuses on strengthening security across applications, cloud platforms, and AI-enabled services, while collaborating with engineering and AI teams to embed secure design patterns throughout the software lifecycle.

The successful candidate will lead security reviews, drive secure coding practices, and contribute to securing AI-powered features as

Qualificações

• Bachelor's or advanced degree in computer science, artificial intelligence, mathematics, or related field or professional cybersecurity certifications in lieu of a formal degree.
• At least 5 years of experience as a cybersecurity professional with strong background in AppSec and/or cloud security.

Responsabilidades

• Secure the SDLC and Cloud Infrastructure: security reviews of code and cloud architectures (AWS/Azure/GCP) and integrate security controls into CI/CD pipelines.
• Partner with Engineering Teams: provide guidance on secure design patterns throughout the development lifecycle.
• Champion Security Culture: share secure coding practices and raise the security bar across teams.
• Contribute to AI Security Practices: review AI/ML systems and pipelines, assess risks in AI workflows.
• Investigate Security Incidents: lead mitigation and recovery for incidents in cloud and AI services.
• Monitor Emerging Threats: track cybersecurity trends and adapt controls accordingly.

Conhecimentos

AppSec & SSDLC

OWASP Top 10

AI/ML Security

Cloud Security

Networking basics

Python/PowerShell

Incident response

Formação académica

CS/AI/Math degree

Ferramentas

AWS

Azure

GCP

DevSecOps tooling

Descrição da oferta de emprego

Enhesa is a global compliance partner helping the world’s largest businesses navigate a changing regulatory and sustainability landscape. The role focuses on strengthening security across applications, cloud platforms, and AI-enabled services, while collaborating with engineering and AI teams to embed secure design patterns throughout the software lifecycle.

The successful candidate will lead security reviews, drive secure coding practices, and contribute to securing AI-powered features as