Senior Backend Software Engineer(AI Teams)

Job description

Our mission is to enable everyone to build wealth. We reinvent how trading and investing work by creating exceptional products people love. Fostering a culture of excellence and high velocity is the key to our success. Today, we serve over 6 million clients, with more than €38 billion in assets under management - a testament to the scale and trust we’ve built in just a few years Our platform is powered by a modern, high-performance engineering stack designed for scale and reliability: Java 21 (Spring), PostgreSQL, MariaDB, Redis, Kafka, ClickHouse, Elasticsearch, Docker, Grafana, AWS, k8s, Kibana. You'll join the team building Trading 212's AI Financial Assistant - giving everyday traders the tools and insights to trade at a professional level. This means working at the intersection of cutting-edge AI, real-time market data. The scale is real, the data is rich, and the engineering challenges are the kind that don't have easy answers. We offer remote or hybrid working, depending on location, with flexibility balanced against team performance and collaboration needs. We also provide an attractive benefits package, which may vary depending on your location. Full details will be shared during the initial screening, and we encourage you to come prepared with any questions. What you’ll do Develop solutions by taking a holistic approach to problem solving, understanding business needs, service architecture, and underlying technologies and infrastructure. Engage in the full SDLC: from forming requirements, design, implementation, testing, deployment, to monitoring, ownership sits with you end to end. Take full ownership of your code and maintain it to a high standard, continuously improving and refactoring when needed. Build for performance, scale, and resilience, operating in an environment where downtime, latency, and data loss are not acceptable. Work in small, autonomous teams with short release cycles, balancing speed with engineering discipline. Learn from peers and actively share knowledge, contributing to a culture of honest feedback and continuous improvement. What you need to have Passion for building AI-driven solutions using rich, large scale datasets, with the ambition to take advantage of the tools, resources, and engineering support needed to solve challenging real world problems. Experience building services in a microservices architecture. Strong u…