Lead Security Engineer GenAI Platform

Das ist der Job

Duties Design and implement comprehensive security measures for AI agents, full-stack applications, and platforms.

Darum lohnt es sich

Lead Security Engineer GenAI Platform with AWS Pro Certificate We are seeking a highly skilled Lead Security Engineer for the GenAI Platform to join our customer's team. Mentor engineering teams and promote a security-first mindset across the organisation. Offer Remote or hybrid (we have modern office space in Warsaw or Gdansk) model.

An opportunity to grow within our structures both locally and internationally. This role involves leading security design and implementation for advanced AI agents, full-stack applications, and platforms, ensuring robust protection and compliance with industry standards.

The person in this role will drive security initiatives for flagship AI products and foster a security-focused engineering culture. Develop and maintain DevSecOps pipelines incorporating SAST, SCA, DAST, and secret scanning tools. Conduct threat modeling exercises and enforce least-privilege access principles.

Lead security initiatives for flagship AI products, including UpToDate Expert AI. Ensure compliance with relevant security standards and regulations such as SOC 2, HIPAA, and ISO 27001. Continuously enhance security tooling, processes, and best practices.

Requirements Minimum of 8 years’ experience in cloud security engineering , preferably with AWS and/or Azure platforms. Expert proficiency in Python and Bash scripting for security automation . Extensive experience integrating security within CI/CD pipelines . Strong background in threat modeling and security architecture design.

Proven experience securing containerized environments such as Docker and Kubernetes. Understanding of security challenges specific to AI and machine learning systems. Capability to successfully complete a live coding technical interview. AWS Professional Certificate or equivalent.

Preferred qualifications Experience working with large-scale distributed systems. Familiarity with healthcare data security regulations. Knowledge of security considerations for large language models (LLMs). Flexible forms of collaboration: employment contract or B2B contracting.

Additionally paid break in the provision of services: 26 days Flexible working hours and possibility to agree on task-based working time. Global projects in NDL product company. A safe environment for brainstorming, experimenting and influencing the project outcomes. Contests: Global Innovation Awards, Global Code Games, Legal Hackathon.

A long-term contract in a well-established, reputable and prosperous company. Access to webinars, conferences, learning platforms, and mentoring program. Private healthcare program, and sports and cultural cards. #J-18808-Ljbffr