AI Engineer / Python Developer
Design, develop, and implement robust AI solutions based on LLMs and agentic systems. Build scalable applications ready for deployment in production environments for national and international clients.
Design, develop, and implement robust AI solutions based on LLMs and agentic systems. Build scalable applications ready for deployment in production environments for national and international clients.
Design and lead cloud-native architectures on Azure and AWS, focusing on microservices, event-driven systems, and API management. Mentor development teams and act as a technical reference for international clients and teams in the United States.
The role involves the administration and governance of the Power BI platform and Microsoft Fabric environments. Responsibilities include managing data gateways, resolving user incidents, and developing automation scripts to monitor platform performance.
The Service Manager will be responsible for managing services and driving the growth of the team in Madrid. The role involves overseeing service transitions and participating in pre-sales activities.
Design and develop practical AI and advanced analytics solutions, including agents, RAG pipelines, and LLM-based systems. Prepare and analyze data, integrate cloud services, build Python business logic, iteratively evaluate solutions in production, and collaborate on their industrialization.
The Cloud Engineer will operate and administer AWS and Azure infrastructures, focusing on automation, maintenance, and incident resolution. They will collaborate with architecture and DevOps teams to evolve cloud platforms and implement infrastructure as code.
The developer will be responsible for building and maintaining backend services, APIs, and CI/CD pipelines within a DevOps environment. They will also handle Kubernetes deployments, troubleshooting, and integration with external services.
Develop and implement Python scripts and applications for process automation and complex technical solutions. Collaborate with the team to analyze requirements, manage code via Git, and participate in the full development lifecycle.
The SRE will manage, operate, and evolve container platforms based on Kubernetes, OpenShift, and cloud-native tools while applying GitOps methodologies. They are responsible for maintaining CI/CD pipelines, ensuring high availability, and automating operational tasks to improve system performance and security.
The IT Project Manager will lead and manage multiple cybersecurity implementation projects across various client environments. Responsibilities include coordinating project teams, managing risks, and ensuring projects meet cost, time, and quality standards.
The technician will administer the CyberArk PAM platform, managing privileged accounts, safes, and access policies. They will also provide technical support for incidents, perform system patching, and collaborate with network and operations teams to improve service.
The candidate will design, implement, and manage secure and scalable AWS cloud architectures to meet business needs. They will also collaborate with cross-functional teams to automate infrastructure and drive cloud migration strategies.
The role involves designing and maintaining complex ETL and data pipelines while performing data modeling and performance tuning. You will work on national and international projects covering the entire data lifecycle, including data strategy, governance, and advanced analytics.
Design and implement data ingestion processes from various sources including databases, APIs, and files. Manage the full data lifecycle, including data modeling, quality assurance, and the development of ETL/ELT pipelines within the Azure and Microsoft Fabric ecosystem.
The Junior Oracle DBA will be responsible for the installation, patching, and upgrading of Oracle database versions 12c and 19c. They will also manage legacy and multitenant environments, including Oracle RAC and DataGuard configurations.
The DevOps Engineer will manage, operate, and evolve container platforms like Kubernetes and OpenShift while automating infrastructure and CI/CD processes. They will also perform troubleshooting, ensure platform availability and security, and act as a technical lead for the team.
Design and implement observability solutions including logs, metrics, and traces while creating advanced dashboards and alerts. Collaborate with DevOps and SRE teams to improve incident detection and integrate AI capabilities into observability platforms.
Design and develop advanced reporting solutions and dashboards using Power BI and Fabric. Translate business needs into analytical solutions, defining corporate KPIs and collaborating with data engineering teams.
Design, develop, and maintain data pipelines using Azure Data Factory and dbt, implementing transformation processes in Snowflake. Ensure data quality and reliability while collaborating with business and architecture teams to optimize the corporate data platform.
The role involves the strategic definition and end-to-end management of security reviews and offensive initiatives, including pentesting and red team exercises. It requires coordinating remediation plans and acting as a liaison between technical teams and business stakeholders.
Lead the design, development, and implementation of low-code solutions, advanced automation, and generative AI agents. Responsibilities include building scalable architectures, managing ALM/DevOps standards, and advising the business on AI and automation strategies.
Provide advanced level 2-3 administration and support for Microsoft 365 environments, identity management, and corporate devices. Lead the design and implementation of automation solutions using Power Platform and manage Windows Server infrastructures.