Remote AI/Cloud Security Engineer – Secure SDLC & AI

Enhesa; Lisboa; Híbrido; EUR 70 000 - 100 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible home-working policy

Work-life balance

Challenging projects

Resumo da oferta

Enhesa is seeking a senior cybersecurity professional to secure our SDLC and cloud infrastructure, integrating security controls into CI/CD and DevSecOps pipelines across AWS, Azure, and GCP.

You will partner with Application Engineering and AI teams to ensure secure design patterns, conduct comprehensive security reviews of code and architectures, and help protect AI-powered features as adoption grows.

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 a strong background in application security and/or cloud security. Hands-on exposure to AI/ML security, LLM security, or securing AI-driven systems is a strong plus.
• Solid understanding of web app vulnerabilities per OWASP Top 10 and familiarity with securing AI-enabled platforms.

Responsabilidades

• Secure the SDLC and Cloud Infrastructure: conduct security reviews of application code and cloud architectures (AWS, Azure, GCP), and integrate security controls, automated testing, and vulnerability management into CI/CD pipelines and DevSecOps workflows.
• Partner with Engineering Teams: act as a hands-on security partner to Application Engineering and Cloud Platform teams, reviewing designs and providing guidance on secure design patterns.
• Champion Security Culture: collaborate with Tech Leads and the Security Champions network to share secure coding practices, run awareness sessions, and raise the security bar across engineering teams.
• Contribute to AI Security Practices: support security reviews of AI/ML systems and pipelines, assessing risks like prompt injection and data poisoning, and grow this expertise.
• Investigate Security Incidents: lead investigation, mitigation, and recovery for security incidents affecting cloud and AI services.
• Monitor Emerging Threats: track cybersecurity trends including AI/ML space and evolve security controls accordingly.

Conhecimentos

AppSec

SSDLC

CI/CD security

OWASP Top 10

AI/ML security

Cloud security

Networking basics

Python

PowerShell

Threat assessment

Formação académica

Bachelor's or higher in CS / related field

Ferramentas

AWS

Azure

GCP

Descrição da oferta de emprego

Enhesa is seeking a senior cybersecurity professional to secure our SDLC and cloud infrastructure, integrating security controls into CI/CD and DevSecOps pipelines across AWS, Azure, and GCP.

You will partner with Application Engineering and AI teams to ensure secure design patterns, conduct comprehensive security reviews of code and architectures, and help protect AI-powered features as adoption grows.