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United States Digital Space LLC in Berlin is seeking an experienced backend engineer to develop AI-driven solutions at scale. You will work on a modern stack, including Java/Spring, SQL databases, and microservices, contributing end-to-end across the SDLC.
You will join autonomous teams delivering high-performance services with a strong emphasis on reliability, latency, and data integrity, while collaborating with a global engineering organization.
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.
Full details will be shared during the initial screening, and we encourage you to come prepared with any questions.
Develop solutions by taking a holistic approach to problem solving, understanding business needs, service architecture, and underlying technologies and infrastructure.
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.
All applicants will be contacted, regardless of whether they are selected!
We process applicant data confidentially and in accordance with applicable data protection laws. We may use AI-powered tools to help review applications, but all hiring decisions are made by our human recruitment team. Where required by law, we rely on your consent to use these tools.You may withdraw this consent or exercise your data protection rights at any time by contacting us.
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