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Salary
≈ $29k – $69k per year (Estimated)
Location
In office (Porto)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 2, 2026. Körber scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Körber is a global technology group specializing in industrial automation, digital supply chain solutions, and advanced manufacturing technologies. The enterprise provides integrated hardware and software solutions across its business areas - Pharma, Supply Chain, Technologies, and Digital - offering pharmaceutical inspection and packaging machinery, manufacturing execution system (MES) software, automated material handling, robotics, AI-driven digital factory platforms, and engineering consulting. Headquartered in Hamburg, Germany, the organization operates across more than 100 locations worldwide, serving life sciences, logistics, consumer goods, and high-tech manufacturing clients globally.

Purpose of the Role:

We are looking for an experienced AI Security Engineer to join our Information and Cyber Security team. This is a position of great responsibility that will report to the Head of Application Security.

The Cyber Defense Center (CDC) ensures that Körber Group IT systems and infrastructures are protected and monitored 24x7. Based on AI technologies, one of the core competences of the CDC is the further engineering of monitoring technologies and runbook automation.

The Application Security team works to ensure that Körber Group products and services are created and offered in line with cybersecurity best practices and market regulations, also with regards to AI development.

Your role:

  • Build, deploy, and operate secure AI platform services across AWS and Azure cloud environments.
  • Configure, secure, and govern AI services such as AWS Bedrock and Azure AI Foundry, including private networking, guardrails, model governance, and regional controls.
  • Implement and maintain API mediation and access control mechanisms to ensure secure interaction with AI tools, models, and services.
  • Design and enforce identity and access management for AI workloads, following least privilege and non-human identity (NHI) best practices.
  • Integrate telemetry, logging, monitoring, and detection capabilities with SIEM platforms to support security operations and incident response.
  • Deploy and operate containerized AI workloads using Kubernetes (AKS/EKS), including GPU-enabled and self-hosted AI models.
  • Develop and maintain Infrastructure as Code (IaC) and CI/CD pipelines to enable secure, automated, and auditable deployments.
  • Ensure platform observability through monitoring, alerting, operational runbooks, and cost management practices.
  • Drive data protection, classification, and compliance requirements, including EU data residency regulations.
  • Stay up to date with emerging AI security threats, vulnerabilities, technologies, and industry best practices.

Your profile:

  • At least 4 years of professional experience in Security, Cloud Security, Platform Security, Cybersecurity Engineering, or a related field.
  • Hands-on experience configuring, securing, and operating AI platforms and services, particularly AWS Bedrock and Azure AI Foundry.
  • Practical experience with AI Security, either through dedicated professional experience, AI-related security initiatives, internal AI programs, research projects, or specialized training and certifications.
  • Strong understanding of AI security concepts, including model governance, secure AI service integration, prompt and tool access controls, AI risk management, and data protection.
  • Experience working in AWS and Azure cloud environments, with a strong focus on secure platform operations.
  • Experience implementing IAM solutions, service identities, RBAC, and least-privilege access controls.
  • Solid understanding of containerization technologies and Kubernetes environments (AKS/EKS).
  • Experience with Infrastructure as Code, automation frameworks, and CI/CD pipelines.
  • Knowledge of monitoring, logging, observability, SIEM integrations, and incident response processes.
  • Good understanding of data classification, privacy requirements, compliance frameworks, and EU data residency requirements.
  • Degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field.
  • Relevant certifications such as Microsoft Azure Security Engineer, Azure AI Engineer, AWS Security Specialty, AWS AI Practitioner, or similar are highly desirable.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and stakeholder management skills, with the ability to collaborate effectively across technical and non-technical teams.
  • Ability to work independently, take ownership, and manage multiple priorities simultaneously.
  • Fluent English skills, both written and spoken. German language skills are a plus.
  • Innovative, proactive, and detail-oriented mindset with a passion for emerging AI technologies and security practices.

We offer you:

  • Possibility of Working from Home - we care about results not locations;
  • Training Budget for each employee - we care about the growth of our people;
  • Private Health Insurance - we care about health on and off working hours;
  • 3 Additional Vacation Days - we care about free time;
  • Fresh fruits - we care about your daily dose of vitamins;
  • Fresh coffee, tea or water - we care about boosting your day.
  • A home for passionate people who innovate, collaborate and love what they do;
  • An environment where the team thinks and acts entrepreneurial;
  • An international and dynamic working atmosphere with cross-functional teams;
  • The opportunity to take more responsibility and develop your career.

This position is covered by the Collective Labour Agreement (Contrato Coletivo de Trabalho da FETESE).

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