Top Remote Jobs in Spain

Monitor marketplace activity for suspicious behavior and fraudulent transactions. Analyze data to identify fraud patterns, emerging risks, and attack vectors; collaborate with product, data, and engineering teams to improve detection systems; maintain monitoring dashboards, reports, and alerts; support fraud prevention policies; and investigate escalated cases to recommend risk-based actions.

Product Designer responsible for creating end-to-end UX/UI solutions, conducting product discovery, designing dashboards and analytics interfaces, and simplifying complex information through data visualization. The role involves collaborating with design leadership and cross-functional stakeholders, contributing to design systems, articulating design decisions, and influencing product strategy. Candidates need at least two years of professional product design experience, a strong portfolio, and experience with design systems and reporting interfaces.

Lead Mimica’s Platform team and own infrastructure strategy, AI infrastructure, cloud architecture, reliability, CI/CD, developer experience, observability, FinOps, and enterprise deployment models. Manage and grow platform and SRE engineers, establish reliability standards, oversee Kubernetes and infrastructure-as-code, support security reviews and enterprise sales, and collaborate with Product, ML, Security, Sales, and Customer Success.

Provides end-to-end technical support for Sardine’s API-driven risk and payment platform. Troubleshoots customer issues involving APIs, SDKs, web technologies, cloud infrastructure, and SQL; communicates resolutions across support channels; escalates bugs to engineering; creates documentation and support tools; and advocates for customer needs and product improvements.

Senior Software Engineer to design and implement C++/Python software, accelerate workloads with CUDA, develop and maintain Linux kernel modules and system services, optimize system and GPU performance, manage Linux systems, mentor junior engineers, and integrate AI technologies across products.

Build and scale Azure-based data pipelines and a shared data foundation for e-commerce search and product discovery. Integrate clickstream, query logs, telemetry, and product interaction data using Medallion Architecture. Implement distributed processing, data quality checks, lineage, governance, and relevance feedback loops. Collaborate with analytics, data science, and product teams while delivering clean, tested, documented code and a functional prototype rapidly.

Staff Software Engineer responsible for designing, building, and operating distributed market data systems. The role focuses on real-time blockchain data ingestion, streaming, normalization, storage, APIs, reliability, data correctness, observability, incident recovery, and production support. The engineer will lead technical decisions, mentor teammates, translate ambiguous requirements into designs, and use AI-assisted development throughout the software lifecycle.

Own the architecture enabling AI-first product engineering, including agent-native standards, context infrastructure, self-healing incident workflows, autonomous agent features, and AI code review optimization. Ship full-stack product features, set technical direction, and partner with product and design teams. The role requires strong backend engineering, production LLM experience, distributed systems expertise, and practical use of AI coding tools.

Supports global data privacy compliance programs involving HIPAA and GDPR. The role assists with Privacy by Design for software and AI use cases, vendor privacy assessments, Data Processing Agreements, Transfer Impact Assessments, regulatory research, privacy investigations, data subject inquiries, documentation, audits, and regulatory readiness. The position collaborates cross-functionally to monitor personal data handling and implement privacy controls.

Serve as a customer-facing technical advisor for industrial analytics software. Design and implement scalable solutions, uncover high-value process-data use cases, guide customer adoption, troubleshoot integrations, mentor partners, and influence product roadmaps. Apply industrial process expertise to translate customer needs into technical solutions, collaborate with product and account teams, and communicate effectively with technical and executive stakeholders.