3 Cloud Security Engineer GCP jobs in Warsaw

XTB is a global company from the financial industry, focusing on online trading of financial instruments. We are the largest FinTech in Poland and a leader in Central and Eastern Europe, and the range of our operations covers several countries, including Asia and South America. At XTB, we focus on the development of our employees, giving them opportunities to gain knowledge and skills in various fields, as well as offering a number of training and development programs. If you are looking for challenges and want to gain valuable experience in an international business environment, XTB is the right place for you. We are a certified Great Place to Work company. Setting our standards high, we can always count on each other. Within our department, we also organize workshops and guilds - meetings dedicated to specific areas or technologies - to continuously develop our skills and build a strong engineering community. Who We Are Looking For We are seeking a Team Leader to lead our...

We are looking for an AI Security Engineer to secure our AI-driven systems, including LLM-based applications, machine learning models, and AI-enabled automation tools. This role will focus on identifying, assessing, and mitigating security risks across the AI lifecycle — from model development and training to deployment and runtime monitoring. The ideal candidate combines strong security engineering experience with a deep understanding of machine learning systems and emerging AI-specific threats (e.g., prompt injection, model poisoning, data leakage, adversarial attacks). Key Responsibilities: AI/ML Security Architecture Design and implement security controls for AI/ML systems across development, training, and production Secure LLM integrations, RAG pipelines, and AI APIs Conduct threat modeling for AI systems and data pipelines Define secure-by-design patterns for AI-powered features AI Threat Detection & Mitigation Identify and mitigate AI-specific threats:...

We’re hiring an Machine Learning Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: you’ll design and operate data pipelines that feed models, and you’ll build the tooling that trains, deploys, monitors, and retrains them. You’ll work closely with research engineers and product teams, taking models from experimentation to production-grade systems with clear SLAs, reproducibility guarantees, and observable behaviour. This is not a research role; it is a hands-on engineering role focused on making ML systems work reliably at scale. What You’ll Work On Build and operate ML lifecycle infrastructure, including model packaging, deployment, versioning, rollback, and CI/CD. Implement model monitoring, experiment tracking, and reproducibility. Build and maintain reliable batch and near-real-time data and feature pipelines,...