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The Solutions Architect will lead technical projects, defining optimal solutions for clients and guiding implementation, leveraging expertise in Data Center and Cloud technologies.

Lead administration and optimization of IBM i/AS400 systems and DB2 for i databases. Configure, install, and maintain DBMS, manage security and user access, develop backup/recovery and disaster-recovery plans, perform performance tuning and diagnostics, support developers and end users, conduct capacity planning, and propose system enhancements to improve reliability and scalability.

Design, implement, and troubleshoot local and wide-area network solutions (IP/VoIP), lead network projects, create proof-of-concepts, coordinate vendor installs, and support go-live and maintenance. Support monitoring, virtualization (SDN/SD‑WAN), and emerging wireless/5G technologies while communicating requirements to teams and customers.

Lead AI-focused consulting engagements, build C-suite relationships, drive profitable growth and business development, oversee multi-disciplinary delivery, ensure operational excellence and utilization, shape strategic initiatives and thought leadership, and mentor talent to deliver transformational Data & AI and cloud solutions.

Lead negotiation and management of IT customer agreements, support account profitability, collaborate cross-functionally, manage complex deals and amendments, and grow into higher-complexity deal-making. Initial onsite presence in Madrid with potential hybrid/remote transition; occasional travel may be required.

Provide 24/7 production support and on-call ownership for Kafka clusters; monitor performance; troubleshoot producers, consumers, brokers, security (TLS/SASL), schema/serialization, and performance issues; analyze logs/metrics; onboard applications; act as SME during incidents and drive resilience improvements.

Design, develop, test, version, and monitor scalable APIs and integration platforms. Build data models, implement CI/CD pipelines, maintain applications, improve documentation, raise code quality, and share best practices.

Design, provision, and maintain multi-cloud infrastructure using Terraform and IaC. Build and operate CI/CD pipelines, troubleshoot deployments, enforce security and governance, optimize cost and performance, and collaborate with architects, security, and application teams to support cloud platform operations and automation.

The Data Scientist will develop and implement GenAI solutions, focusing on NLP and AI technologies. Responsibilities include working on LLM projects and collaborating with teams to integrate AI solutions into cloud environments.

Designs, implements, and supports local and wide-area network solutions across multiple platforms and protocols. Responsibilities include network troubleshooting, routing, switching, firewall and security architecture, vendor coordination, project planning, cost analysis, proof-of-concept development, and implementation support through go-live and maintenance. The role requires expertise in core networking technologies, complex network environments, SDN, data centers, and customer-focused technical solution delivery.