Summary: ThetaRay is seeking an AI Fullstack Developer with strong Python and data engineering skills to design and develop large-scale data processing systems and Big Data pipelines for AI-driven fintech solutions. Highlights: 1. Design and develop large-scale data processing systems and Big Data pipelines. 2. Work across the full stack, building backend data platforms and microservices. 3. Embrace modern AI-assisted development practices across the entire SDLC. Madrid, SpainDescription **About Us** ThetaRay is a global leader in AI\-driven Big Data analytics, empowering financial organizations to detect and prevent financial crime, uncover operational inefficiencies, and identify new growth opportunities. Our Intuitive AI technology helps institutions fight money laundering, fraud, terrorist financing, human trafficking, and other sophisticated threats. We operate in an AI\-augmented, Agentic SDLC engineering culture where developers actively collaborate with AI tools throughout the entire development lifecycle. Our teams use tools such as GitHub Copilot and continuously build internal Agents and Skills that help automate engineering workflows and accelerate development. We follow a spec\-driven engineering vision where clear specifications, AI\-assisted development, and modern tooling redefine how software is designed and delivered.**Position Overview** We are looking for an AI Fullstack Developer with strong Python and data engineering capabilities and the ability to contribute to frontend development when needed. In this role, you will design and develop large\-scale data processing systems and Big Data pipelines that power innovative AI\-driven fintech solutions. These systems analyze massive financial datasets and support advanced risk detection, financial crime prevention, and intelligent analytics. You will work across the full stack \- building backend data platforms and microservices while also contributing to modern UI applications built with React or Angular. This role is ideal for a developer who enjoys solving complex data challenges, building scalable distributed systems, and embracing modern AI\-assisted development practices across the entire SDLC.**Responsibilities****Backend Development \- Python \& Big Data Systems*** Design and develop backend services and **large\-scale data pipelines** using Python * Build and maintain **Big Data processing systems** that power AI\-driven fintech analytics * Develop scalable data processing workflows using technologies such as **Spark, Pandas, and Airflow** * Work with distributed data storage systems such as **Elasticsearch, MongoDB, Redis, and object storage solutions like MinIO** * Develop and maintain **microservices\-based architectures** that integrate with data pipelines and AI systems * Design systems with strong focus on **scalability, performance, and reliability** * Investigate new technologies and drive innovation in data processing and analytics platforms **Frontend Development*** Contribute to building modern UI features using **React, Next.js, or Angular** * Develop reusable components and responsive interfaces for data\-driven SaaS applications * Integrate frontend applications with backend microservices and data platforms * Collaborate with UX designers and product teams to deliver intuitive and interactive user experiences **AI\-Augmented \& Spec\-Driven Engineering*** Use **GitHub Copilot and other AI\-assisted development tools** as part of daily development * Work in a **spec\-driven development environment** where clear specifications guide implementation * Participate in building and improving **internal AI Agents and Skills** that enhance engineering productivity * Explore and implement **AI capabilities within both the product and engineering workflows** * Contribute to evolving **AI\-assisted SDLC practices** across the organization **General*** Work in an **Agile/Scrum environment** with cross\-functional teams * Take ownership across the **entire development lifecycle**, from design and implementation to testing and production troubleshooting * Collaborate closely with Product, QA, and DevOps teams * Follow best practices in software architecture, development, and testing * Continuously evaluate and adopt modern technologies Requirements  **Backend / Data Engineering*** At least **3\+ years of hands\-on experience developing complex data\-oriented systems** using **Python or other OOP languages** * Experience with **data processing frameworks such as Spark or Pandas** * Experience developing and maintaining **data pipelines or data\-intensive platforms** * Experience with **distributed databases such as Elasticsearch, MongoDB, or Redis** * Experience designing and developing **microservices\-based architectures** * Experience working with **containerized environments (Docker) and orchestration platforms such as Kubernetes or Helm** * Strong troubleshooting skills in **production environments** **Frontend*** Experience developing UI components using **React, Next.js, or Angular** * Strong knowledge of **JavaScript/TypeScript, HTML5, and CSS3** * Ability to contribute to frontend development **as part of a fullstack responsibility** **General*** Experience working in **Agile development environments** * Experience with **AI tools that enhance development workflows**, such as GitHub Copilot * Strong analytical thinking and problem\-solving skills * Curiosity, accountability, and strong teamwork skills * Ability to collaborate closely with **Product, QA, DevOps, and cross\-functional teams** **Nice to Have*** B.Sc. in Computer Science or related field * Experience with **Java** development is a strong advantage. * Familiarity with **machine learning frameworks** such as scikit\-learn or TensorFlow * Experience with **MinIO or Airflow** * Experience with **Red Hat OpenShift** * Experience with **CI/CD pipelines and development tools such as Git, Jenkins, and Docker** * Experience working with **distributed or hybrid teams** * Experience mentoring or guiding other developers