Theta Ray is a trailblazer in AI-powered Anti-Money Laundering (AML) solutions, offering cutting-edge technology to fintech's, banks, and regulatory bodies worldwide. Our technology empowers customers to expand into new markets and introduce groundbreaking products. Theta Ray is a culture-driven company. At Theta Ray, you will be part of a dynamic global team committed to redefining the financial services sector through technological innovation. You will contribute to creating safer financial environments and have the opportunity to work with some of the brightest minds in AI, ML, and financial technology. Explore exciting career opportunities at Theta Ray – where innovation meets purpose. We are looking for a Site Reliability Engineer (SRE) to join our growing Integral Support organization. The person is responsible for resolving technical issues and taking part in the deployment and delivery of our solutions.
Technical escalations - Resolve issues that are escalated from Tier 1 support Customer communication - Engage directly with customers on multiple issues,



providing clear and concise communication throughout the life cycle of the case Become a product expert for customers and stay up-to-date on new features Support our customers during the onboarding, implementation, and production phases including incidents and deployments Work closely with the Tier 3 Engineers and escalate according to our escalation flows Knowledge management - Document solutions and best practices to assist other support teams and reduce future escalations Participate in our global On Call rotation KPIs - Adhere to strict KPI's and SLAs both internally and externally Requirements: Minimum of 2+ years of experience in a Technical Support organization - must Experience in Sys Admin on Linux environment and networking - must Experience with AI-driven support ecosystems, including agent/skill development and understanding of AI workflows for automated triage, log analysis, and incident resolutio

📌 Build Engineer (Madrid)
🏢 Thetaray
📍 Madrid