Cloud and AI Security Engineer

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🕒 2 days ago

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Logo of suki.

suki.

201 - 500 employees

🏭 Manufacturing

💼 Consulting

🏗️ Construction

Manufacturing • Consulting • Construction

suki is a reliable independent partner for European DIY and specialist trade across over 40 countries. Specializing in hardware, hand tools, and self-adhesive technology, suki develops customer-specific solutions for products, assortments, presentation, logistics, and services. Known as an expert in space optimization and problem-solving for their clients, suki offers the broadest product range in the industry with high-quality craftsmanship and excellent logistic services. Their commitment is to strengthen retailers with their modular brand portfolio including own brands like suki, fix-o-moll, and Magnodur, as well as integrated manufacturer and private labels. suki emphasizes quality, service, and logistical excellence to deliver precise solutions tailored to the trade market needs, always considering the end consumer. They operate an extensive distribution network across Europe, ensuring local presence through their GLOCAL approach.

📋 Description

• Manage large security projects, proactively enhance system defenses, and ensure compliance with regulations like HIPAA and the HITRUST r2 CSF • Develop robust and secure code for security tooling, automation, and critical integrations to improve our security posture • Partner with cross-departmental leaders in Suki to reduce the friction, increase speed-to-market and deliver secure-by-design products • Conduct security assessments and red-teaming on proprietary and third-party AI/ML models, LLMs, and data pipelines (testing for prompt injection, data poisoning, training data extraction, and model inversion) • Implement guardrails to prevent PHI exposure in model training, vector databases, RAG architectures, and fine-tuning datasets • Own the technical security architecture across our multi-cloud footprint (AWS / GCP / Azure), ensuring zero-trust principles and robust Cloud Security Posture Management (CSPM) • Secure Kubernetes clusters, container registries, and Infrastructure-as-Code (Terraform / CloudFormation) within CI/CD deployment pipelines • Design and enforce least-privilege IAM policies, role-based access controls (RBAC), just-in-time (JIT) provisioning, and secrets management across cloud environments • Design and enforce microsegmentation, VPC architecture, SASE/VPN solutions, and strict network isolation for multi-tenant health data architectures • Manage network security controls, intrusion detection/prevention systems (IDS/IPS), and Web Application Firewalls (WAF) to prevent unauthorized data exfiltration • Proven track record in cloud network design, VPC routing, cloud firewalls, Zero Trust Network Access (ZTNA), and egress control

🎯 Requirements

• 7+ years in Information Security, with 1+ years evaluating and remediating AI risk • Hands-on experience securing AWS, GCP, or Azure environments using automated tools and native security services • Strong coding skills for developing secure tooling, automation, including leveraging agentic AI • Deep understanding of healthcare compliance standards and security protocols, including HIPAA / HITECH, HITRUST CSF, and NIST including a foundational understanding of NIST AI RMF in a cloud environment (GCP preferred) • Demonstrated leadership ability with experience managing security projects and mentoring junior team members • Excellent communication and collaboration skills to lead technical discussions

🏖️ Benefits

• Health insurance • Professional development opportunities • Flexible work arrangements • Remote work options

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