ThetaRay provides AI-driven anti-financial crime technology used by global banks and fintechs to detect money laundering and financial crime.
Our Madrid office is a key R&D hub with 50+ team members across engineering, data, and customer delivery, working closely with strategic customers across the region.
As a Full Stack Engineer, you will build scalable data platforms and backend services that power ThetaRay’s financial crime detection and analytics systems.
Technology: Python, Spark, Pandas, Airflow, microservices, distributed databases, Docker, Kubernetes, React / Angular, GenAI Orchestration (building agents), RAG, MCP.
What you’ll work on:
- Building large-scale data pipelines and backend services using Python
- Developing distributed data processing systems that analyze large financial datasets.
- Designing microservices architectures including AI Agent architectures that use tool-calling to automate investigative workflows.
- Contributing to modern web applications and UI components using React, Next.js, or Angular
- Contributing to scalable distributed architectures and event-driven systems, utilizing standard protocols (like MCP) to connect agents with enterprise data.
- Working with distributed databases and scalable storage systems.
- At least 3 years experience developing data platforms or backend systems using Python.
- Experience building data pipelines or working with large-scale data processing frameworks (e.g., Spark, Pandas).
- Experience designing microservices architectures, including agentic design patterns (e.g., ReAct).
- Experience working with distributed databases (e.g., Elasticsearch, MongoDB, Redis).
- Experience working with containerized environments such as Docker and Kubernetes.
- Experience contributing to frontend applications using React, Next.js, or Angular.
- Experience leveraging AI-assisted development tools (GitHub Copilot) and prompt engineering to accelerate the SDLC.
- Familiarity with prompt engineering for developer tooling, writing effective instructions/context to guide AI code suggestions.
- Fluent Spanish and strong English communication skills (written and spoken).
- Please note we require CVs to be submitted in English
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What We Do
At ThetaRay, we believe that banks no longer have to de-risk when they can expand their cross-border ecosystem safely. ThetaRay is the developer of SONAR, a groundbreaking, AI-powered, transaction-monitoring SaaS solution for cross-border payments that allows banks to expand their business opportunities by achieving safe and reliable cross-border payment monitorisation. ThetaRay's technology is the only packaged SaaS offering that analyzes SWIFT traffic, risk indicators, and client/payer/payee data to detect anomalies indicating money laundering activity across complex, cross-border transaction paths. It is also one of the only AI-driven AML solutions that can be easily integrated and deployed within days, with minimal implementation required. ThetaRay's solution increases detection capabilities for both supervised and unsupervised data and includes profiling and advanced analytics assessments, all in one platform. Financial organizations that rely on highly heterogeneous and complex ecosystems benefit greatly from ThetaRay's unmatchable low false-positive rates.
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