5 Cloud Security Engineer GCP jobs

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...

So, who are we? IG is a FTSE 100 fintech operating across five continents, serving over 1.3m customers and handling billions of dollars in transactions – built on scale, trust, and proof. We didn't pivot to innovation; it's how we've always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that's rare in established businesses. The bar is high – bring a curious and forward-thinking mindset and we'll give you the platform to define what comes next. Join us at IG – the future gets built here. Your team This role is part of our Platform Engineering team -- they are responsible for building the cloud and containers platform landscape to support the business applications via self-service capabilities and automation. Your role in the team's success The Senior Platform Engineer is a hands-on technical contributor responsible for...

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:...

Fancy helping to shape the future of FinTech? We have always been innovators. In 1996 we were the first company to share exchange rate information, free of charge on the internet. Today, we are a world leading online trading group. Join us to: Help build the future of online trading Be part of a culture driven by integrity and global impact Become part of an award-winning company - check out our full list of awards here We are only as good as our people. Luckily, our people are the best. Join us! How do we work? The Data Engineering Lead is responsible for leading the Data Engineering team to design, build, and scale robust data platforms. Bridging the gap between business needs and technical execution, you will drive end-to-end data solutions from requirements gathering to implementation. A core focus of this role is the hands-on modernization and management of our Data Infrastructure, emphasizing best practices across Airflow orchestration, CI/CD pipelines,...

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,...